{"id":209,"date":"2019-10-31T21:27:34","date_gmt":"2019-10-31T13:27:34","guid":{"rendered":"http:\/\/nljrc.pk.njau.edu.cn\/?page_id=209"},"modified":"2023-12-12T16:05:55","modified_gmt":"2023-12-12T08:05:55","slug":"lei-publications","status":"publish","type":"page","link":"http:\/\/172.30.27.2\/index.php\/lei-shu-homepage\/lei-publications\/","title":{"rendered":"Publications"},"content":{"rendered":"<p style=\"font-size: 10px;font-style: italic;text-align: right;\"> Recently updated on: 2023-12-12<\/p>\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"209\" class=\"elementor elementor-209\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-6c4ab8ff elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"6c4ab8ff\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t\t<div class=\"elementor-background-overlay\"><\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-627a8a97\" data-id=\"627a8a97\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-49425e6d elementor-widget elementor-widget-heading\" data-id=\"49425e6d\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Journal Papers<br><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-69342448 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"69342448\" data-element_type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-389a7a0 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"389a7a0\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-3976bb6\" data-id=\"3976bb6\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-16f0d7f elementor-widget elementor-widget-text-editor\" data-id=\"16f0d7f\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong>2023<\/strong><\/p><ol><li>Xu, K., Shu, L., Xie, Q., Song, M., Zhu, Y., Cao, W., Ni, J. (2023). Precision weed detection in wheat fields for agriculture 4.0: A survey of enabling technologies, methods, and research challenges. Computers and Electronics in Agriculture, 212, 108106. DOI: 10.1016\/j.compag.2023.108106. (SCI, IF= 8.3).<\/li><li>Lu, W., Li, J., Qin, H., Shu, L., Song, A. (2023). On Dual-Mode Driving Control Method for a Novel Unmanned Tractor with High Safety and Reliability. IEEE\/CAA Journal of Automatica Sinica, 10(1), 254-271. DOI: 10.1109\/JAS.2023.123072. (SCI, IF= 11.8).<\/li><li>Yang, X., Shu, L., Li, K., Huo, Z., Shu, S., Nurellari, E. (2022). Silos: An intelligent fault detection scheme for solar insecticidal lamp iot with improved energy efficiency. IEEE Internet of Things Journal, 10(1), 920-939. DOI: 10.1109\/JIOT.2022.3209162. (SCI, IF= 10.6).<\/li><li>Rong, B., Cheriet, M., Montalban, J., Shu, L., Qian, Y. (2023). Special Issue on Green IoT for Future Space\u2013Air\u2013Ground\u2013Ocean-Integrated Networks and Applications. IEEE Internet of Things Journal, 10(11), 9249-9251. DOI: 10.1109\/JIOT.2023.3246846. (SCI, IF= 10.6).<\/li><\/ol>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6267d13 elementor-widget elementor-widget-text-editor\" data-id=\"6267d13\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong>2022<\/strong><\/p><ol><li>Pei, J., Chen, H., Shu, L. (2022). UAV-assisted connectivity enhancement algorithms for multiple isolated sensor networks in agricultural Internet of Things. Computer Networks, 207, 108854.2. DOI: 10.1016\/j.comnet.2022.108854. (SCI, IF= 5.6).<\/li><li>Qi, C., Gao, J., Pearson, S., Harman, H., Chen, K., Shu, L. (2022). Tea chrysanthemum detection under unstructured environments using the TC-YOLO model. Expert Systems with Applications, 193, 116473. DOI: 10.1016\/j.eswa.2021.116473. (SCI, IF= 8.5).<\/li><li>Ferrag, M. A., Shu, L., Friha, O., Yang, X. (2021). Cyber security intrusion detection for agriculture 4.0: Machine learning-based solutions, datasets, and future directions. IEEE\/CAA Journal of Automatica Sinica, 9(3), 407-436. DOI: 10.1109\/JAS.2021.1004344. (SCI, IF= 11.8).<\/li><li>Zhou, M., Chen, H., Shu, L., Liu, Y. (2021). UAV-assisted sleep scheduling algorithm for energy-efficient data collection in agricultural Internet of things. IEEE Internet of Things Journal, 9(13), 11043-11056. DOI: DOI: 10.1109\/jiot.2021.3125971. (SCI, IF= 10.6).<\/li><li>Li, X., Zhou, Z., Zhu, C., Shu, L., Zhou, J. (2021). Online reconfiguration of latency-aware iot services in edge networks. IEEE Internet of Things Journal, 9(18), 17035-17046. DOI:10.1109\/JIOT.2021.3135287. (SCI, IF= 10.6).<\/li><li>Sun, Y., Nurellari, E., Ding, W., Shu, L., Huo, Z. (2022). A Partition-Based Mobile-Crowdsensing-Enabled Task Allocation for Solar Insecticidal Lamp Internet of Things Maintenance. IEEE Internet of Things Journal, 9(20), 20547-20560. DOI: 10.1109\/JIOT.2022.3175732. (SCI, IF= 10.6).<\/li><li>Friha, O., Ferrag, M. A., Maglaras, L., Shu, L. (2022). Digital Agriculture Security: Aspects, Threats, Mitigation Strategies, and Future Trends. IEEE Internet of Things Magazine, 5(3), 82-90. DOI: 10.1109\/IOTM.001.2100164.<\/li><li>Friha, O., Ferrag, M. A., Shu, L., Maglaras, L., Choo, K. K. R., Nafaa, M. (2022). FELIDS: Federated learning-based intrusion detection system for agricultural Internet of Things. Journal of Parallel and Distributed Computing, 165, 17-31. DOI: 10.1016\/j.jpdc.2022.03.003. (SCI, IF= 3.8).<\/li><li>Guo, X., Shu, L., Yang, X., Nurellari, E., Li, K., Du, B., Yao, H. (2021). Two-hop energy consumption balanced routing algorithm for solar insecticidal lamp Internet of Things. Sensors, 22(1), 154. DOI: 10.3390\/s22010154. (SCI, IF= 3.9).<\/li><li>Sun, Y., Ding, W., Shu, L., Li, K., Zhang, Y., Zhou, Z., Han, G. (2021). On enabling mobile crowd sensing for data collection in smart agriculture: A vision. IEEE Systems Journal, 16(1), 132-143. DOI:10.1109\/JSYST.2021.3104107. (SCI, IF= 4.4).<\/li><li>Shu, L., Hancke, G. P., Sheng, V. S., Wang, L. (2021). Guest Editorial: Reliability and Security for Intelligent Wireless Sensing and Control Systems. IEEE Transactions on Industrial Informatics, 18(4), 2651-2655. DOI: 10.1109\/tii.2021.3126613. (SCI, IF= 12.3).<\/li><li>Yang, X., Shu, L., Liu, Y., Hancke, G. P., Ferrag, M. A., Huang, K. (2022). Physical security and safety of iot equipment: A survey of recent advances and opportunities. IEEE Transactions on Industrial Informatics, 18(7), 4319-4330. DOI:10.1109\/TII.2022.3141408. (SCI, IF= 12.3).<\/li><li>Huo, Z., Mart\u00ednez-Garc\u00eda, M., Zhang, Y., Shu, L. (2021). A multisensor information fusion method for high-reliability fault diagnosis of rotating machinery. IEEE Transactions on Instrumentation and Measurement, 71, 1-12. DOI:10.1109\/TIM.2021.3132051. (SCI, IF= 5.6).<\/li><li>Liu, L., Han, G., Xu, Z., Jiang, J., Shu, L., Martinez-Garcia, M. (2020). Boundary tracking of continuous objects based on binary tree structured SVM for industrial wireless sensor networks. IEEE Transactions on Mobile Computing, 21(3), 849-861. DOI:10.1109\/TMC.2020.3019393. (SCI, IF= 7.9).<\/li><li>Si, P., Fu, Z., Shu, L., Yang, Y., Huang, K., Liu, Y. (2022). Target-barrier coverage improvement in an insecticidal lamps internet of UAVs. IEEE Transactions on Vehicular Technology, 71(4), 4373-4382. DOI:10.1109\/TVT.2022.3148175. (SCI, IF= 6.8).<\/li><li>Liu, Y., Li, D., Du, B., Shu, L., Han, G. (2022). Rethinking sustainable sensing in agricultural Internet of Things: From power supply perspective. IEEE Wireless Communications, 29(4), 102-109. DOI:10.1109\/MWC.004.2100426. (SCI, IF= 12.9).<\/li><\/ol>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1d4b52b elementor-widget elementor-widget-text-editor\" data-id=\"1d4b52b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h3><strong>2021<\/strong><\/h3><ol><li>Shu, L., Zhao, J., Gong, Y., Luo, C., Gordon, T. (2021). IEEE access special section editorial: Communication and fog\/edge computing toward intelligent connected vehicles (ICVS). IEEE Access, 9, 63740-63744. DOI:10.1109\/ACCESS.2021.3071260. (SCI, IF= 3.9)<\/li><li>Ferrag, M. A., Friha, O., Maglaras, L., Janicke, H., Shu, L. (2021). Federated deep learning for cyber security in the internet of things: Concepts, applications, and experimental analysis. IEEE Access, 9, 138509-138542. DOI:<a href=\"http:\/\/dx.doi.org\/10.1109\/ACCESS.2021.3118642\">10.1109\/ACCESS.2021.3118642<\/a>. (SCI, IF= 8.5).<\/li><li>Yang, X., Shu, L., Chen, J., Ferrag, M. A., Wu, J., Nurellari, E., Huang, K. (2021). A survey on smart agriculture: Development modes, technologies, and security and privacy challenges. IEEE\/CAA Journal of Automatica Sinica, 8(2), 273-302. DOI:10.1109\/JAS.2020.1003536. (SCI, IF=5.129).<\/li><li>Zhang, W., Wang, J., Han, G., Huang, S., Feng, Y., Shu, L. (2020). A data set accuracy weighted random forest algorithm for IoT fault detection based on edge computing and blockchain. IEEE Internet of Things Journal, 8(4), 2354-2363. DOI:10.1109\/JIOT.2020.3044934. (SCI, IF= 10.6).<\/li><li>Yang, F., Shu, L., Yang, Y., Han, G., Pearson, S., Li, K. (2021). Optimal deployment of solar insecticidal lamps over constrained locations in mixed-crop farmlands. IEEE Internet of Things Journal, 8(16), 13095-13114. DOI:10.1109\/JIOT.2021.3064043. (SCI, IF= 10.6).<\/li><li>Ferrag, M. A., Shu, L. (2021). The performance evaluation of blockchain-based security and privacy systems for the Internet of Things: A tutorial. IEEE Internet of Things Journal, 8(24), 17236-17260. DOI:10.1109\/JIOT.2021.3078072. (SCI, IF= 10.6).<\/li><li>Shu, L. (2021). Honor History for a Better Future. Journal of Sensor and Actuator Networks, 10(3), 55.DOI: 10.3390\/jsan10030055. (SCI, IF= 3.5).<\/li><li>Xia, M., Shao, H., Williams, D., Lu, S., Shu, L., de Silva, C. W. (2021). Intelligent fault diagnosis of machinery using digital twin-assisted deep transfer learning. Reliability Engineering System Safety, 215, 107938. DOI: 10.1016\/j.ress.2021.107938. (SCI, IF= 8.1).<\/li><li>Si, P., Wang, S., Shu, L., Ning, R., Fu, Z. (2020). Optimal deployment for target-barrier coverage problems in wireless sensor networks. IEEE Systems Journal, 15(2), 2241-2244. DOI:10.1109\/JSYST.2020.2990395. (SCI, IF= 4.4).<\/li><li>Zhu, H., Han, G., Shu, L., Zhao, H. (2020). ArvaNet: Deep recurrent architecture for PPG-based negative mental-state monitoring. IEEE Transactions on Computational Social Systems, 8(1), 179-190. DOI:10.1109\/TCSS.2020.2977715. (SCI, IF= 5).<\/li><li>Ren, T., Niu, J., Shu, L., Hancke, G. P., Wu, J., Liu, X., Xu, M. (2020). Enabling efficient model-free control of large-scale canals by exploiting domain knowledge. IEEE Transactions on Industrial Electronics, 68(9), 8730-8742. DOI:10.1109\/TIE.2020.3013778. (SCI, IF= 7.7).<\/li><li>Guan, D., Chen, K., Han, G., Huang, S., Yuan, W., Guizani, M., Shu, L. (2020). A novel class noise detection method for high-dimensional data in industrial informatics. IEEE Transactions on Industrial Informatics, 17(3), 2181-2190. DOI:10.1109\/TII.2020.3012658. (SCI, IF= 7.7).<\/li><li>Liu, Y., Ma, X., Shu, L., Hancke, G. P., Abu-Mahfouz, A. M. (2020). From Industry 4.0 to Agriculture 4.0: Current status, enabling technologies, and research challenges. IEEE Transactions on Industrial Informatics, 17(6), 4322-4334. DOI:10.1109\/TII.2020.3003910. (SCI, IF= 12.3).<\/li><li>Friha, O., Ferrag, M.A., Shu, L., Maglaras, L., Wang, X. (2021). Internet of Things for the Future of Smart Agriculture: A Comprehensive Survey of Emerging Technologies. IEEE\/CAA Journal of Automatica Sinica.DOI:10.1109\/JAS.2021.1003925. <em>(SCI,IF=5.129)<\/em><\/li><li>X. Huang, R. Yu, D. Ye, L. Shu , S. Xie. (2021). Efficient Workload Allocation and User-centric Utility Maximization for Task Scheduling in Collaborative Vehicular Edge Computing.\u00a0 IEEE Transactions on Vehicular Technology.\u00a0 DOI: 10.1109\/TVT.2021.3064426. <em>(SCI,IF=5.379)<\/em><\/li><li>L. Shu, G. P. Hancke and A. M. Abu-Mahfouz. (2021). Guest Editorial: Sustainable and Intelligent Precision Agriculture.\u00a0 IEEE Transactions on Industrial Informatics. DOI: 10.1109\/TII.2020.3035198. <em>(SCI,IF=9.112)<\/em><\/li><li>Yang, F., Shu, L., Yang, Y., Han, G., Pearson, S. , Li, K., (2021). Optimal Deployment of Solar Insecticidal Lamps over Constrained Locations in Mixed-Crop Farmlands. IEEE Internet of Things Journal. DOI:10.1109\/JIOT.2021.3064043.<em>(SCI,IF=9.936)<\/em><\/li><li>Y. Liu, L. Shu, Z. Huo, K. F. Tsang , G. P. Hancke.(2021). Collaborative Industrial Internet of Things for Noise Mapping: Prospects and Research Opportunities.\u00a0 IEEE Industrial Electronics Magazine, DOI: 10.1109\/MIE.2020.3040162.<em>(SCI,IF=13.539)<\/em><\/li><li>Xiong, J., Yu, D., Wang, Q., Shu, L., Cen, J., Liang, Q., Chen, H., Sun, B., (2021). Application of Histogram Equalization for Image Enhancement in Corrosion Areas. Shock and Vibration .DOI:10.1155\/2021\/8883571.<em>(SCI,IF=1.298)<\/em><\/li><li>F. Yang, L. Shu, Y. Yang, Y. Liu and T. Gordon.(2021). Improved Coverage and Connectivity via Weighted Node Deployment in Solar Insecticidal Lamp Internet of Things. IEEE Internet of Things Journal. DOI: 10.1109\/JIOT.2021.3050473.<em>(SCI,IF=9.936)<\/em><\/li><li>L. Liu, G. Han, Z. Xu, L. Shu, M. Martinez-Garcia and B. Peng.(2021). Predictive Boundary Tracking based on Motion Behavior Learning for Continuous Objects in Industrial Wireless Sensor Networks. IEEE Transactions on Mobile Computing.DOI: 10.1109\/TMC.2021.3049220.<em>(SCI,IF=5.112)<\/em><\/li><li>Xiong, J.; Yu, D.; Liu, S.; Shu, L.; Wang, X.; Liu, Z. (2021). A Review of Plant Phenotypic Image Recognition Technology Based on Deep Learning. Electronics<em>.<\/em>DOI:10.3390\/electronics10010081.<em> (SCI,IF=2.412)<\/em><\/li><\/ol><h3><strong>2020<\/strong><\/h3><ol><li>Liu, L., Han, G., Xu, Z., Jiang, J., Shu, L., Martinez-Garcia, M. (2020). Boundary Tracking of Continuous Objects Based on Binary Tree Structured SVM for Industrial Wireless Sensor Networks. IEEE Transactions on Mobile Computing. DOI: 10.1109\/TMC.2020.3019393 (SCI, IF=5.112)<\/li><li>Ren, T., Niu, J., Shu, L., Hancke, G. P., Wu, J., Liu, X., Xu, M. (2020). Enabling Efficient Model-Free Control of Large-Scale Canals by Exploiting Domain Knowledge. IEEE Transactions on Industrial Electronics. DOI: 10.1109\/TIE.2020.3013778 (SCI, IF=7.515)<\/li><li>Guan, D., Chen, K., Han, G., Huang, S., Yuan, W., Guizani, M., Shu, L. (2020). A Novel Feature Selection-Based Class Noise Detection Method For High-dimensional Data In Industrial Informatics. IEEE Transactions on Industrial Informatics. DOI: 10.1109\/TII.2020.3012658 (SCI, IF=9.112)<\/li><li>Yang, X., Shu, L., Huang, K., Li, K., Huo, Z, Wang Y., Wang X., Lu X., Zhang Y. (2020). Characteristics Analysis and Challenges for Fault Diagnosis in Solar Insecticidal Lamps Internet of Things. Smart Agriculture. DOI: 10.12133\/j.smartag.2020.2.2.202005-SA002<\/li><li>Liu, Y., Ma, X., Shu, L., Hancke, G. P., Abu-Mahfouz, A. M. (2020). From Industry 4.0 to Agriculture 4.0: Current Status, Enabling Technologies, and Research Challenges. IEEE Transactions on Industrial Informatics. DOI: 10.1109\/TII.2020.3003910 (SCI, IF=9.112)<\/li><li>Zhao, L., Han, G., Li, Z., Shu, L. (2020). Intelligent digital twin-based software-defined vehicular networks. IEEE Network. DOI: 10.1109\/MNET.011.1900587 (SCI, IF=7.503)<\/li><li>Jiang, J., Zhu, X., Han, G., Guizani, M., Shu, L. (2020). A Dynamic Trust Evaluation andUpdate Mechanism based on C4. 5 Decision Tree in Underwater Wireless Sensor Networks. IEEETransactions on Vehicular Technology. DOI : 10.1109\/TVT.2020.2999566 (SCI, IF=5.339)\u00a0<\/li><li>Yang, F., Shu, L., Huang, K., Li, K., Han, G., Liu, Y. (2020). A Partition-Based NodeDeployment Strategy in Solar Insecticide Lamp Internet of Things. IEEE Internet of ThingsJournal. DOI : 10.1109\/JIOT.2020.2996514 (SCI, IF=9.515)\u00a0<\/li><li>Si, P., Wang, S., Shu, L., Ning, R., Fu, Z. (2020). Optimal Deployment for Target-Barrier Coverage Problems in Wireless Sensor Networks. IEEE Systems Journal. DOI :10.1109\/JSYST.2020.2990395 (SCI, IF=4.463)\u00a0<\/li><li>Huo, Z., Zhang, Y., Jombo, G., Shu, L. (2020). Adaptive Multiscale Weighted PermutationEntropy for Rolling Bearing Fault Diagnosis. IEEE Access, 8, 87529-87540. DOI : 10.1109\/AC-CESS.2020.2992935 (SCI, IF=4.098)\u00a0<\/li><li>Liu, Y., Ma, X., Shu, L., Yang, Q., Zhang, Y., Huo, Z., Zhou, Z. (2020). Internet of Thingsfor Noise Mapping in Smart Cities : State-of-the-Art and Future Directions. IEEE Network.DOI : 10.1109\/MNET.011.1900634 (SCI, IF=7.503)<\/li><li>\u00a0Lin, C., Han, G., Du, J., Bi, Y., Shu, L., Fan, K. (2020). A Path Planning Scheme for AUVFlock-based Internet of Underwater Things Systems to Enable Transparent and Smart Ocean.IEEE Internet of Things Journal. DOI : 10.1109\/JIOT.2020.2988285 (SCI, IF=9.515)<\/li><li>\u00a0Huang, K., Shu, L., Li, K., Yang, F., Han, G., Wang, X., Pearson, S. (2020). PhotovoltaicAgricultural Internet of Things Towards Realizing the Next Generation of Smart Farming. IEEEAccess, 8, 76300-76312. DOI : 10.1109\/ACCESS.2020.2988663 (SCI, IF=4.098)\u00a0<\/li><li>Zhu, H., Han, G., Shu, L., Zhao, H. (2020). ArvaNet: Deep Recurrent Architecture for PPG-Based Negative Mental-State Monitoring. IEEE Transactions on Computational Social Systems. DOI: 10.1109\/TCSS.2020.2977715<\/li><li>\u00a0Zhu, Z., Han, G., Jia, G., Shu, L. (2020). Modified DenseNet for Automatic Fabric Defect Detection with Edge Computing for Minimizing Latency. IEEE Internet of Things Journal. DOI: 10.1109\/JIOT.2020.2983050 (SCI, IF=9.515)<\/li><li>\u00a0Xu, T., Han, G., Qi, X., Du, J., Lin, C., Shu, L. (2020). A Hybrid Machine Learning Model for Demand Prediction of Edge-Computing based Bike Sharing System Using Internet of Things. IEEE Internet of Things Journal. DOI: 10.1109\/JIOT.2020.2983089 (SCI, IF=9.515)<\/li><li>\u00a0\u00a0Lin, C., Han, G., Qi, X., Guizani, M., Shu, L. (2020). A Distributed Mobile Fog Computing Scheme for Mobile Delay-Sensitive Applications in SDN-Enabled Vehicular Networks. IEEE Transactions on Vehicular Technology. DOI: 10.1109\/TVT.2020.2980934 (SCI, IF=5.339)<\/li><li>Sun, W., Tang, M., Zhang, L., Huo, Z., Shu, L. (2020). A Survey of Using Swarm Intelligence Algorithms in IoT. Sensors, 20(5), 1420. doi.org\/10.3390\/s20051420 (SCI, IF=3.031)<\/li><li>Ferrag, M. A., Shu, L., Yang, X., Derhab, A., Maglaras, L. (2020). Security and Privacy for Green IoT-Based Agriculture: Review, Blockchain Solutions, and Challenges. IEEE Access, 8, 32031-32053. DOI: 10.1109\/ACCESS.2020.2973178 (SCI, IF=4.098)<\/li><li>Huang, X., Ye, D., Yu, R., Shu, L. (2020). Securing parked vehicle assisted fog computing with blockchain and optimal smart contract design. IEEE\/CAA Journal of Automatica Sinica, 7(2), 426-441. DOI: 10.1109\/JAS.2020.1003039 (SCI)<\/li><li>Si, P., Ma, J., Tao, F., Fu, Z., Shu, L. (2020). 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Towards a semantic infrastructure for context-aware e-learning. <span style=\"font-style: italic;\">Multimedia Tools and Applications<\/span>, <span style=\"font-style: italic;\">47<\/span>(1), 71-86. DOI: 10.1007\/s11042-009-0407-4 (SCI, IF=2.101)<\/li><li>Zhou, L., Xiong, N., Shu, L., Vasilakos, A., &amp; Yeo, S. S. (2010). Context-aware middleware for multimedia services in heterogeneous networks. <span style=\"font-style: italic;\">IEEE Intelligent Systems<\/span>, (2), 40-47. DOI: <a href=\"https:\/\/doi.ieeecomputersociety.org\/10.1109\/MIS.2010.48\">10.1109\/MIS.2010.48<\/a> (SCI, IF=4.464)<\/li><li>Lin, K., Wang, L., Li, K., &amp; Shu, L. (2010). Multi-attribute data fusion for energy equilibrium routing in wireless sensor networks. <span style=\"font-style: italic;\">KSII Transactions on Internet &amp; Information Systems<\/span>, <span style=\"font-style: italic;\">4<\/span>(1).<\/li><li>Zhang, Y. Y., Chao, H. C., Chen, M., Shu, L., Park, C. H., &amp; Park, M. S. (2010). Outlier detection and countermeasure for hierarchical wireless sensor networks. <span style=\"font-style: italic;\">IET Information Security<\/span>, <span style=\"font-style: italic;\">4<\/span>(4), 361-373. DOI: <a href=\"https:\/\/doi.org\/10.1049\/iet-ifs.2009.0192\">10.1049\/iet-ifs.2009.0192<\/a> (SCI, IF=0.949)<\/li><li>Ge, X., Wang, C. X., Yang, Y., Shu, L., Liu, C., &amp; Xiang, L. (2010). AFSO: An Adaptative Frame Size Optimization Mechanism for 802.11 Networks. <span style=\"font-style: italic;\">KSII Transactions on Internet &amp; Information Systems<\/span>, <span style=\"font-style: italic;\">4<\/span>(3).<\/li><li>Han, G., Shu, L., Ma, J., Park, J. H., &amp; Ni, J. (2010). Power-aware and reliable sensor selection based on trust for wireless sensor networks. <span style=\"font-style: italic;\">JCM<\/span>, <span style=\"font-style: italic;\">5<\/span>(1), 23-30.<\/li><li>Fang, W. W., Chen, J. M., Shu, L., Chu, T. S., &amp; Qian, D. P. (2010). Congestion avoidance, detection and alleviation in wireless sensor networks. <span style=\"font-style: italic;\">Journal of Zhejiang University SCIENCE C<\/span>, <span style=\"font-style: italic;\">11<\/span>(1), 63.<\/li><li>Yuanfang, C., Chen, Y., Wang, L., Zhuxiu, Y., Chunsheng, Z., Li, X., &amp; Shu, L. (2009, September). Simulation and Testbed Experiments of a Backoff Differentiation Scheme for Sensor Networks.<\/li><li>Shu, L., Yang, J., Zhang, L., Xu, H., Wu, X., &amp; Hauswirth, M. (2009). Reward oriented packet filtering algorithm for wireless sensor networks. <span style=\"font-style: italic;\">Wireless Communications and Mobile Computing<\/span>, <span style=\"font-style: italic;\">9<\/span>(3), 369-382. DOI: <a href=\"https:\/\/doi.org\/10.1002\/wcm.549\">10.1002\/wcm.549<\/a> (SCI, IF=1.396)<\/li><li>Zhang, Y. Y., Shu, L., Park, M. S., Wang, L., &amp; Lee, E. M. (2009). An intelligent and reliable data transmission protocol for highly destructible wireless sensor networks. <span style=\"font-style: italic;\">\u7db2\u969b\u7db2\u8def\u6280\u8853\u5b78\u520a<\/span>, <span style=\"font-style: italic;\">10<\/span>(5), 539-548.<\/li><li>Xiong, N., Vasilakos, A. V., Yang, L. T., Long, F., Shu, L., &amp; Li, Y. (2009). A Rate Feedback Predictive Control Scheme Based on Neural Network and Control Theory for Autonomic Communication. In <span style=\"font-style: italic;\">Autonomic Communication<\/span> (pp. 93-107). Springer, Boston, MA.<\/li><li>Yuanfang, C., Chen, Y., Wang, L., Zhuxiu, Y., Chunsheng, Z., Li, X., &amp; Shu, L. (2009, September). Simulation and Testbed Experiments of a Backoff Differentiation Scheme for Sensor Networks.<\/li><li>Shu, L., Wu, C., Zhang, Y., Chen, J., Wang, L., &amp; Hauswirth, M. (2008). NetTopo: beyond simulator and visualizer for wireless sensor networks. <span style=\"font-style: italic;\">ACM SIGBED Review<\/span>, <span style=\"font-style: italic;\">5<\/span>(3), 2.<\/li><li>Shu, L., Zhang, Y., Zhou, Z., Hauswirth, M., Yu, Z., &amp; Hynes, G. (2008). Transmitting and gathering streaming data in wireless multimedia sensor networks within expected network lifetime. <span style=\"font-style: italic;\">Mobile Networks and Applications<\/span>, <span style=\"font-style: italic;\">13<\/span>(3-4), 306-322. DOI: <a href=\"https:\/\/doi.org\/10.1007\/s11036-008-0088-7\">10.1007\/s11036-008-0088-7<\/a> (SCI, IF=2.39)<\/li><li>LeiShu, J. C., Lee, S., Hauswirth, M., &amp; Zhang, L. (2007). VIP Bridge: Leading ubiquitous sensor networks to the next generation. <span style=\"font-style: italic;\">Journal of Internet Technology<\/span>, <span style=\"font-style: italic;\">8<\/span>(3), 2. (SCI ,IF=0.715)<\/li><li>Lei, S., Lee, S. Y., Jie, Y., &amp; Hee, K. (2004). ETRI: a dynamic packet scheduling algorithm for wireless sensor networks. <span style=\"font-style: italic;\">Proceedings of ETRSI<\/span>, (0.5), 1.<\/li><li>Hung, N. Q., Ngoc, N. C., Hung, L. X., Lei, S., &amp; Lee, S. (2003). A survey on middleware for context-awareness in ubiquitous computing environments. <span style=\"font-style: italic;\">Korea Information Processing Society Review<\/span>, <span style=\"font-style: italic;\">10<\/span>.<\/li><\/ol>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-5815e591 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"5815e591\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t\t<div class=\"elementor-background-overlay\"><\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-39d0a6d\" data-id=\"39d0a6d\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-6cfaba54 elementor-widget elementor-widget-heading\" data-id=\"6cfaba54\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Conference Papers<br><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6a93354 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"6a93354\" data-element_type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-d04ffb7 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"d04ffb7\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-d03bccb\" data-id=\"d03bccb\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ccff5fa elementor-widget elementor-widget-text-editor\" data-id=\"ccff5fa\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h3><strong>2019<\/strong><\/h3><ol><li>Yang, F., Shu, L., Liu, Y., Li, K., Huang, K., Zhang, Y., &amp; Sun, Y. (2019, February). Poster: Photovoltaic Agricultural Internet of Things the Next Generation of Smart Farming. In Proceedings of the 2019 International Conference on Embedded Wireless Systems and Networks (pp. 236-237). Junction Publishing.<\/li><li>\u00a0 Sun, Y., Ding, W., Shu, L., Huang, K., Li, K., Zhang, Y., \u00a0Huo, Z. (2019, May). When mobile crowd sensing meets smart agriculture: poster. In Proceedings of the ACM Turing Celebration Conference-China (pp. 1-2).<\/li><li>Huo, Z., Zhang, Y., Shu, L., \u00a0Liao, X. (2019, October). Edge Permutation Entropy: An Improved Entropy Measure for Time-Series Analysis. In IECON 2019-45th Annual Conference of the IEEE Industrial Electronics Society (Vol. 1, pp. 5998-6003). IEEE.<\/li><li>\u00a0Li, X., Zhou, Z., Tang, J., Shu, L. (2019, August). Energy-Aware Anomaly Detec-tion in Industrial Multi-Modal IoT Applications. In 2019 IEEE SmartWorld, UbiquitousIntelligence Computing, Advanced Trusted Computing, Scalable Computing Communica-tions, Cloud Big Data Computing, Internet of People and Smart City Innovation (Smart-World\/SCALCOM\/UIC\/ATC\/CBDCom\/IOP\/SCI) (pp. 885-890). IEEE.\u00a0<\/li><\/ol><h3><strong>2018<\/strong><\/h3><ol><li>Huo, Z., Zhang, Y., Shu, L., Lv, Y., &amp; Lin, S. (2018, December). Bearing Fault Diagnosis using Multi-sensor Fusion based on weighted DS Evidence Theory. In 2018 18th International Conference on Mechatronics-Mechatronika (ME)(pp. 1-6). IEEE.<\/li><li>Rocher, J., Sendra, S., Parra, L., Lloret, J., &amp; Shu, L. (2018, October). Low Cost Sensor to Measure Solid Concentrations in Wastewater. In IECON 2018-44th Annual Conference of the IEEE Industrial Electronics Society (pp. 5234-5239). IEEE.<\/li><li>Huo, Z., Zhang, Y., &amp; Shu, L. (2018, June). Fine-to-coarse multiscale permutation entropy for rolling bearing fault diagnosis. In 2018 14th International Wireless Communications &amp; Mobile Computing Conference (IWCMC)(pp. 660-665). IEEE.<\/li><li>Zhang, Y., Yi, X., Zhou, Z., &amp; Shut, L. (2018, June). A Mechanism for Continuous Object Boundary Region Detection and Prediction in Hybrid WSN. In 2018 IEEE 27th International Symposium on Industrial Electronics (ISIE) (pp. 1296-1301). IEEE.<\/li><\/ol><h3><strong>2017<\/strong><\/h3><ol><li>Zhang, Z., Shu, L., Zhu, C., &amp; Mukherjee, M. (2017, December). A short review on sleep scheduling mechanism in wireless sensor networks. In International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (pp. 66-70). Springer, Cham.<\/li><li>Zhang, X., Shu, L., Huo, Z., Mukherjee, M., &amp; Zhang, Y. (2017, December). A Short Review of Constructing Noise Map Using Crowdsensing Technology. In International Conference on Collaborative Computing: Networking, Applications and Worksharing (pp. 37-43). Springer, Cham.<\/li><li>Choudhury, N., Matam, R., Mukherjee, M., &amp; Shu, L. (2017). Impact of synchronization scheme on duty cycling in IEEE 802.15. 4 cluster tree networks. In IECON 2017-43rd Annual Conference of the IEEE Industrial Electronics Society (pp. 8471-8475). IEEE.<\/li><li>Fang, W., Zhang, Z., Mukherjee, M., Shu, L., &amp; Zhou, Z. (2017). Energy-utilization aware sleep scheduling in green WSNs for sustainable throughput. In IECON 2017-43rd Annual Conference of the IEEE Industrial Electronics Society(pp. 4724-4727). IEEE.<\/li><li>Choudhury, N., Matam, R., Mukherjee, M., &amp; Shu, L. (2017). Dynamic adaptation of duty cycling with MAC parameters in cluster tree IEEE 802.15. 4 networks. In IECON 2017-43rd Annual Conference of the IEEE Industrial Electronics Society(pp. 3449-3454). IEEE.<\/li><li>Huo, Z., Zhang, Y., Sath, R., &amp; Shu, L. (2017). Self-adaptive fault diagnosis of roller bearings using infrared thermal images. In IECON 2017-43rd Annual Conference of the IEEE Industrial Electronics Society (pp. 6113-6118). IEEE.<\/li><li>Huo, Z., Zhang, Y., &amp; Shu, L. (2017). A comparative study of WPD and EMD for shaft fault diagnosis. In IECON 2017-43rd Annual Conference of the IEEE Industrial Electronics Society(pp. 8441-8446). IEEE.<\/li><li>Jing, W., Jiang, T., Mukherjee, M., Shu, L., &amp; Kang, J. (2017, September). An Optimized Implementation of Speech Recognition Combining GPU with Deep Belief Network for IoT. In International Conference on Internet of Things as a Service(pp. 251-260). Springer, Cham.<\/li><li>Huo, Z., Zhang, Y., &amp; Shu, L. (2017, September). A short survey on fault diagnosis of rotating machinery using entropy techniques. In International Conference on Industrial Networks and Intelligent Systems (pp. 279-284). Springer, Cham.<\/li><li>Zhao, T., Wang, H., Mukherjee, M., &amp; Shu, L. (2017, July). Design of a low control-flow overhead-based software-defined wireless sensor network with link failure. In 2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) (pp. 2805-2811). IEEE.<\/li><li>Wang, D., Mukherjee, M., Shu, L., Chen, Y., &amp; Hancke, G. (2017, May). Sleep scheduling for critical nodes in group-based industrial wireless sensor networks. In 2017 IEEE International Conference on Communications Workshops (ICC Workshops) (pp. 694-698). IEEE.<\/li><li>Fang, W., Mukherjee, M., Shu, L., Zhou, Z., &amp; Hancke, G. P. (2017, May). Energy utilization concerned sleep scheduling in wireless powered communication networks. In 2017 IEEE International Conference on Communications Workshops (ICC Workshops) (pp. 558-563). IEEE.<\/li><li>Mukherjee, M., Shu, L., Zhao, T., Wang, D., &amp; Wang, H. (2017, May). Lightweight flow management for software-defined wireless sensor networks with link fault in data plane. In 2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) (pp. 998-999). IEEE.<\/li><li>Chen, Y., Shu, L., &amp; Wang, L. (2017, May). Traffic flow prediction with big data: A deep learning based time series model. In 2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) (pp. 1010-1011). IEEE.<\/li><li>Mukherjee, M., Shu, L., Wang, D., Li, K., &amp; Chen, Y. (2017, May). A fog computing-based framework to reduce traffic overhead in large-scale industrial applications. In 2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) (pp. 1008-1009). IEEE.<\/li><li>Shu, L., Mukherjee, M., Wang, D., Fang, W., &amp; Chen, Y. (2017, April). Prolonging global connectivity in group-based industrial wireless sensor networks. In 2017 16th ACM\/IEEE International Conference on Information Processing in Sensor Networks (IPSN) (pp. 325-326). IEEE.<\/li><li>Mukherjee, M., Shu, L., Fang, W., &amp; Zhou, Z. (2017, April). Sleep scheduling in wireless powered industrial wireless sensor networks. In Proceedings of the 16th ACM\/IEEE International Conference on Information Processing in Sensor Networks (pp. 301-302). ACM.<\/li><li>Sun, Z., Wang, H., Chen, Y., Shu, L., &amp; Mukherjee, M. (2017, January). Understanding the impact of planarized proximity graphs on toxic gas boundary area detection. In 2017 International Conference on Recent Advances in Signal Processing, Telecommunications &amp; Computing (SigTelCom)(pp. 109-114). IEEE.<\/li><li>Choudhury, N., Matam, R., Mukherjee, M., &amp; Shu, L. (2017, July). Adaptive duty cycling in IEEE 802.15. 4 cluster tree networks using MAC parameters. In Proceedings of the 18th ACM International Symposium on Mobile Ad Hoc Networking and Computing (p. 37). ACM.<\/li><\/ol><h3><strong>2016<\/strong><\/h3><ol><li>Li, X., Wu, X., Huang, D., &amp; Shu, L. (2016, December). Horizontal Slicing Clustering Based Movement Detection Method for IoTs. In International Wireless Internet Conference(pp. 279-287). Springer, Cham.<\/li><li>Wen, P., Huang, J., Chen, Y., &amp; Shu, L. (2016, December). Using Wireless Vibration Sensors to Study the Impact of Fouling on Fluid-Conveying Pipelines. In International Wireless Internet Conference (pp. 288-292). Springer, Cham.<\/li><li>Choudhury, N., Matam, R., Mukherjee, M., &amp; Shu, L. (2016, December). Distributed beacon synchronization mechanism for 802.15. 4 cluster-tree topology. In International Wireless Internet Conference (pp. 10-20). Springer, Cham.<\/li><li>Ran, X., Shu, L., Mukherjee, M., Wu, Y., Chen, Y., &amp; Sun, Z. (2016, December). Impact of Irregular Radio and Faulty Nodes on Localization in Industrial WSNs. In International Wireless Internet Conference (pp. 36-48). Springer, Cham.<\/li><li>Zhang, Z., Shu, L., Mehmood, A., Yan, L., &amp; Zhang, Y. (2016, December). A Short Survey on Fault Diagnosis in Wireless Sensor Networks. In International Wireless Internet Conference (pp. 21-26). Springer, Cham.<\/li><li>Ran, X., Shu, L., Mukherjee, M., Wu, Y., Chen, Y., &amp; Sun, Z. (2016, December). Impact of Irregular Radio and Faulty Nodes on Localization in Industrial WSNs. In International Wireless Internet Conference (pp. 36-48). Springer, Cham.<\/li><li>Liu, X., Lu, B., Niu, J., Shu, L., &amp; Chen, Y. (2016, December). HMF: Heatmap and WiFi fingerprint-based indoor localization with building layout consideration. In 2016 IEEE 22nd International Conference on Parallel and Distributed Systems (ICPADS) (pp. 324-331). IEEE.<\/li><li>Mukherjee, M., Shu, L., Zhao, T., Li, K., &amp; Wang, H. (2016, December). Low control overhead-based sleep scheduling in software-defined wireless sensor networks. In 2016 IEEE 18th International Conference on High Performance Computing and Communications; IEEE 14th International Conference on Smart City; IEEE 2nd International Conference on Data Science and Systems (HPCC\/SmartCity\/DSS) (pp. 1236-1237). IEEE.<\/li><li>Li, K., Shu, L., Mukherjee, M., Wang, D., &amp; Hu, L. (2016, December). Prolonging network lifetime with sleep scheduling for solar harvesting industrial WSNs. In 2016 IEEE 18th International Conference on High Performance Computing and Communications; IEEE 14th International Conference on Smart City; IEEE 2nd International Conference on Data Science and Systems (HPCC\/SmartCity\/DSS) (pp. 1532-1533). IEEE.<\/li><li>Li, Y., Shu, L., Li, J., Zhu, R., &amp; Chen, Y. (2016, October). Spatial keyword query processing in the internet of vehicles. In International Conference on Industrial Networks and Intelligent Systems (pp. 1-13). Springer, Cham.<\/li><li>Mukherjee, M., Shu, L., Hu, L., &amp; Deng, D. J. (2016, October). Impacts of radio irregularity on duty-cycled industrial wireless sensor networks. In International conference on industrial networks and intelligent systems (pp. 29-38). Springer, Cham.<\/li><li>Fang, W., Zhou, Z., Shu, L., Wang, X., Tu, D., &amp; Xiong, Y. (2016, October). Prediction-Based Event Determination in Underwater Wireless Sensor Networks. In 2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI) (pp. 370-373). IEEE.<\/li><li>Huo, Z., Mukherjee, M., Shu, L., Chen, Y., &amp; Zhou, Z. (2016, September). Cloud-based data-intensive framework towards fault diagnosis in large-scale petrochemical plants. In 2016 International Wireless Communications and Mobile Computing Conference (IWCMC) (pp. 1080-1085). IEEE.<\/li><li>Li, A., Han, G., Shu, L., &amp; Guizani, M. (2016, September). Cooperative secondary users selection in cognitive radio ad hoc networks. In 2016 International Wireless Communications and Mobile Computing Conference (IWCMC) (pp. 915-920). IEEE.<\/li><li>Huo, Z., Mukherjee, M., Shu, L., Chen, Y., &amp; Zhou, Z. (2016, September). Cloud-based data-intensive framework towards fault diagnosis in large-scale petrochemical plants. In 2016 International Wireless Communications and Mobile Computing Conference (IWCMC) (pp. 1080-1085). IEEE.<\/li><li>Chen, Y., Shu, L., Crespi, N., Lee, G. M., &amp; Guizani, M. (2016, September). Understanding the impact of network structure on propagation dynamics based on mobile big data. In 2016 International Wireless Communications and Mobile Computing Conference (IWCMC) (pp. 1018-1023). IEEE.<\/li><li>Hu, J., Qin, Z., Sun, Y., Shu, L., Lu, B., &amp; Wang, L. (2016, August). Cii: A light-weight mechanism for zigbee performance assurance under wifi interference. In 2016 25th International Conference on Computer Communication and Networks (ICCCN) (pp. 1-9). IEEE.<\/li><li>Qin, Z., Sun, Y., Sun, L., Shu, L., Wang, L., Zhang, W., &amp; Lu, B. (2016, August). A joint duty cycle and network coding MAC protocol for underwater wireless sensor networks. In 2016 25th International Conference on Computer Communication and Networks (ICCCN) (pp. 1-9). IEEE.<\/li><li>Wang, K., Mi, J., Xu, C., Shu, L., &amp; Deng, D. J. (2016, July). Real-time big data analytics for multimedia transmission and storage. In 2016 IEEE\/CIC International Conference on Communications in China (ICCC) (pp. 1-6). IEEE.<\/li><li>Lin, C. C., Deng, D. J., Shu, L., Wang, K., Wang, S. B., &amp; Tsai, I. H. (2016, July). On lifetime enhancement of dynamic wireless sensor networks with energy-harvesting sensors. In 2016 IEEE\/CIC International Conference on Communications in China (ICCC) (pp. 1-3). IEEE.<\/li><li>Xing, R., Zhou, Z., Niu, J., Shu, L., &amp; Wang, L. (2016, July). Underwater event identification and determination in UWSNs. 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A load-balancing and energy-aware clustering algorithm in wireless ad-hoc networks. In international conference on embedded and ubiquitous computing (pp. 1108-1117). Springer, Berlin, Heidelberg.<\/li><li>Yang, J., Shu, L., Wu, X., Cho, J., Lee, S., &amp; Han, S. (2005, December). ETRI-QM: Reward oriented query model for wireless sensor networks. In International Conference on Embedded and Ubiquitous Computing (pp. 597-608). Springer, Berlin, Heidelberg.<\/li><li>Lei, S., Lee, S., Xiaoling, W., &amp; Jie, Y. (2005, April). Maximizing system value among interested packets while satisfying time and energy constraints. In International Conference on Networking (pp. 714-721). Springer, Berlin, Heidelberg.<\/li><li>Xu, H., Jeon, M., Shu, L., Xiaoling, W., Cho, J., &amp; Lee, S. (2005, December). Localized energy-aware broadcast protocol for wireless networks with directional antennas. In International Conference on Embedded Software and Systems (pp. 696-707). Springer, Berlin, Heidelberg.<\/li><\/ol>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-2329c5e3 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"2329c5e3\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t\t<div class=\"elementor-background-overlay\"><\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-79dc0328\" data-id=\"79dc0328\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-220a72d2 elementor-widget elementor-widget-heading\" data-id=\"220a72d2\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Book Chapter<br><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-359f97e3 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"359f97e3\" data-element_type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-031abcd elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"031abcd\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-56c3926\" data-id=\"56c3926\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a3b5675 elementor-widget elementor-widget-text-editor\" data-id=\"a3b5675\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ol><li>Romdhani, I., Shu, L., Takahiro, H., Zhou, Z., Gordon, T., Zeng, D. (Eds.). (2018). Collabora-tive Computing : Networking, Applications and Worksharing : 13th International Conference,CollaborateCom 2017, Edinburgh, UK, December 11\u201313, 2017, Proceedings (Vol. 252). Springer.\u00a0<\/li><li>Yuexing Peng, Yonghui Li, Mohammed Atiquzzaman, Lei Shu, A Flexible General Multi-Sensor Joint Coding for Large-Scale M2M Network. 2013.<\/li><li>Yuanfang Chen, Lei Shu, Lu Chen, GPS-free Indoor Localization for Mobile Sensor Networks. In Wireless Sensor Networks: Theory and Applications, edited by I. M. M. El Emary and S. Ramakrishnan, CRC Press, Taylor and Francis Group, 2012. ISBN: 9781466518100.<\/li><li>Trung Q. Duong, Nguyen-Son Vo, Hans-Jurgen Zepernick, Xu Du, Lei Shu, Replication Strategies for Video On-Demand over Wireless Mesh Networks: A Cross-Layer Optimization Approach. In Using Cross-Layer Techniques for Communication Systems: Techniques and Applications, Eds. H. F. Rashvand and Y. S. Kavian, IGI Global, USA. 2011.<\/li><li>Kai Lin, Lei Shu, Lei Wang, AI-Sakib Khan Pathan, Data Gathering with Multi-Attribute Fusion in Wireless Sensor Networks. In Advancements in Distributed Computing and Internet Technologies: Trends and Issues, IGI Global, 2010.<\/li><li>Yiying Zhang, Lin He, Lei Shu, Takahiro Hara, Shojiro Nishio, Security Issues on Outlier Detection and Countermeasure for Distributed Hierarchical Wireless Sensor Networks. In Advancements in Distributed Computing and Internet Technologies: Trends and Issues, IGI Global, 2010.<\/li><li>Guangjie Han, Lei Shu, Chuan Zhu, Joel Rodrigues, Research on Precise Localization Based on Trilateration for Indoor Sensor Networks. In Advancements in Distributed Computing and Internet Technologies: Trends and Issues, IGI Global, 2010.<\/li><\/ol>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-1eca4537 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"1eca4537\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t\t<div class=\"elementor-background-overlay\"><\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-407d6ec0\" data-id=\"407d6ec0\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-49d69f12 elementor-widget elementor-widget-heading\" data-id=\"49d69f12\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Publications with Keywords<br><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-66fa1aaa elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"66fa1aaa\" data-element_type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-40a3bd2 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"40a3bd2\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-b51bbc2\" data-id=\"b51bbc2\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-391b219 elementor-widget elementor-widget-text-editor\" data-id=\"391b219\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong>Keyword: Scheduling<\/strong><\/p><ol><li>ETRI: a dynamic packet scheduling algorithm for wireless sensor networks \u00a02004<\/li><li>Sleep scheduling towards geographic routing in duty-cycled sensor networks with a mobile sink 2011<\/li><li>Sleep scheduling towards geographic routing in duty-cycled sensor networks. 2011<\/li><li>A balanced energy consumption sleep scheduling algorithm in wireless sensor networks 2011<\/li><li>Scheduling performance enhancement by network coding in wireless mesh networks 2012<\/li><li>Secured energy-aware sleep scheduling algorithm in duty-cycled sensor networks 2012<\/li><li>A geographic routing oriented sleep scheduling algorithm in duty-cycled sensor networks 2012<\/li><li>Collaborative location-based sleep scheduling to integrate wireless sensor networks with mobile cloud computing 2013<\/li><li>Collaborative location-based sleep scheduling for wireless sensor networks integratedwith mobile cloud computing 2014<\/li><li>Achieving optimal admission control with dynamic scheduling in energy constrained network systems 2014<\/li><li>An efficient technique of scheduling mobile sinks in hybrid WSN 2014<\/li><li>Sleep scheduling for geographic routing in duty-cycled mobile sensor networks 2014<\/li><li>A Multi-Objective Optimization Scheduling Method Based on the Ant Colony Algorithm in Cloud Computing 2015<\/li><li>Improving wsns sleep scheduling mechanism with sdn-like architecture 2015<\/li><li>An energy-balanced heuristic for mobile sink scheduling in hybrid WSNs 2015<\/li><li>A Resource Scheduling Method Based on Deadline and Cost Constraint in Hybird Cloud. 2016<\/li><li>An energy-efficient SDN based sleep scheduling algorithm for WSNs 2016<\/li><li>Sleep Scheduling with Toxic Gas Coverage Requirement in Large-Scale Industry 2016<\/li><li>Prolonging network lifetime with sleep scheduling for solar harvesting industrial WSNs 2016<\/li><li>Low control overhead-based sleep scheduling in software-defined wireless sensor networks 2016<\/li><li>A multi-objective hybrid cloud resource scheduling method based on deadline and cost constraints 2016<\/li><li>Sleep scheduling in industrial wireless sensor networks for toxic gas monitoring 2017<\/li><li>Sleep scheduling in wireless powered industrial wireless sensor networks 2017<\/li><li>Energy utilization concerned sleep scheduling in wireless powered communication networks 2017<\/li><li>Sleep scheduling for critical nodes in group-based industrial wireless sensor networks 2017<\/li><li>Subtask scheduling for distributed robots in cloud manufacturing 2017<\/li><li>Energy-utilization aware sleep scheduling in green WSNs for sustainable throughput 2017<\/li><li>A Short Review on Sleep Scheduling Mechanism in Wireless Sensor Networks 2017<\/li><li>A multiqueue interlacing peak scheduling method based on tasks\u2019 classification in cloud computing 2018<\/li><li>Sleep Scheduling for Unbalanced Energy Harvesting in Industrial Wireless Sensor Networks 2019<\/li><\/ol><p><strong>Keyword\uff1aRouting<\/strong><\/p><ol><li>Geographic Routing in Wireless Multimedia Sensor Networks \u00a02008<\/li><li>Multi-attribute data fusion for energy equilibrium routing in wireless sensor networks. 2010<\/li><li>TPGF: geographic routing in wireless multimedia sensor networks 2010<\/li><li>Impacts of duty-cycle on TPGF geographical multipath routing in wireless sensor networks 2010<\/li><li>A distance-based energy aware routing algorithm for wireless sensor networks 2010<\/li><li>Analysis on capacity and delay for redundant multiple source routing in mobile ad hoc networks 2010<\/li><li>Geographic routing in random duty-cycled wireless multimedia sensor networks 2010<\/li><li>Geographic multipath routing in duty-cycled wireless sensor networks: One-hop or two-hop? 2011<\/li><li>Sleep scheduling towards geographic routing in duty-cycled sensor networks with a mobile sink 2011<\/li><li>Sleep scheduling towards geographic routing in duty-cycled sensor networks. 2011<\/li><li>A geographic routing algorithm in duty-cycled sensor networks with mobile sinks 2011<\/li><li>A geographic routing oriented sleep scheduling algorithm in duty-cycled sensor networks 2012<\/li><li>An overlapping clustering approach for routing in Wireless Sensor Networks 2013<\/li><li>Two-hop geographic multipath routing in duty-cycled wireless sensor networks 2013<\/li><li>A QoS-assured opportunistic routing mechanism for WMN 2013<\/li><li>Energy-efficient routing algorithms based on OVSF code and priority in clustered wireless sensor networks 2013<\/li><li>Geographic Multipath Routing in Duty-Cycled Wireless Sensor Networks with Energy Harvesting 2013<\/li><li>A Pipelined-forwarding, Routing-integrated and effectively-Identifying MAC for large-scale WSN 2013<\/li><li>R3E: Reliable reactive routing enhancement for wireless sensor networks 2014<\/li><li>Sleep scheduling for geographic routing in duty-cycled mobile sensor networks 2014<\/li><li>E-CARP: An energy efficient routing protocol for UWSNs in the internet of underwater things 2015<\/li><li>A reliable location-based and energy-aware routing protocol for underwater acoustic sensor networks 2015<\/li><li>NAPR: A node activity-based probabilistic routing algorithm in Delay Tolerant-Mobile Sensor Networks 2015<\/li><li>An Energy Efficient Routing Protocol for Underwater WSNs 2015<\/li><li>A venues\u2010aware message routing scheme for delay\u2010tolerant networks 2015<\/li><li>Routing protocols in underwater acoustic sensor networks: a quantitative comparison 2015<\/li><li>Cross\u2010layer optimized routing in wireless sensor networks with duty cycle and energy harvesting 2015<\/li><li>An unequal clustering routing protocol for energy-heterogeneous wireless sensor networks 2015<\/li><li>Geographic routing in duty-cycled industrial wireless sensor networks with radio irregularity 2016<\/li><li>Geographic multipath routing based on geospatial division in duty-cycled underwater wireless sensor networks 2016<\/li><li>RLER: A Reliable Location-Based and Energy-Aware Routing Protocol for Underwater Acoustic Sensor Networks 2016<\/li><\/ol><p><strong>Keyword: Localization<\/strong><\/p><ol><li>Impacts of Duty-Cycle and Radio Irregularity on HCRL Localization in Wireless Sensor Networks \u00a02010<\/li><li>A calibration scheme based on pool adjacent violators for localization in wireless sensor networks 2010<\/li><li>Removing Heavily Curved Path: Improved DV-hop Localization in Anisotropic Sensor Networks 2011<\/li><li>Mitigating Radio Irregularity Impact: An RSSI Calibration Method for Range-Free Localization in Sensor Networks 2011<\/li><li>The insights of DV-based localization algorithms in the wireless sensor networks with duty-cycled and radio irregular sensors 2011<\/li><li>A novel secure localization scheme against collaborative collusion in wireless sensor networks 2011<\/li><li>Lmat: Localization with a mobile anchor node based on trilateration in wireless sensor networks 2011<\/li><li>The Insights of Localization through Mobile Anchor Nodes in Wireless Sensor Networks with Irregular Radio 2012<\/li><li>RNST: Precise Localization Based on Trilateration for Indoor Sensor Networks 2012<\/li><li>Localization Algorithms of Underwater Wireless Sensor Networks&amp;58; A Survey 2012<\/li><li>A two-hop localization scheme with radio irregularity model in Wireless Sensor Networks 2012<\/li><li>GPS-free and Anchor-free Indoor Localization for Wireless Sensor Networks. 2012<\/li><li>The precise underground localization method based on WIFI network 2012<\/li><li>Ziloc: Energy efficient wifi fingerprint-based localization with low-power radio 2013<\/li><li>Performance evaluation of DV-hop localization algorithm with mobility models for Mobile Wireless Sensor Networks 2013<\/li><li>Locating using prior information: wireless indoor localization algorithm 2013<\/li><li>Analyzing the performance of localization algorithms in underwater sensor networks 2013<\/li><li>Performance evaluation of localization algorithms in large-scale underwater sensor networks 2013<\/li><li>GPS-Free Indoor Localization for Mobile Sensor Networks 2013<\/li><li>A two-step secure localization for wireless sensor networks 2013<\/li><li>A Collaborative Localization algorithm for underwater acoustic sensor networks 2014<\/li><li>INBS: An Improved Naive Bayes Simple learning approach for accurate indoor localization 2014<\/li><li>The impacts of mobility models on DV-hop based localization in mobile wireless sensor networks 2014<\/li><li>A mobile anchor assisted localization algorithm based on regular hexagon in wireless sensor networks 2014<\/li><li>Locating in Crowdsourcing-Based DataSpace: Wireless Indoor Localization without Special Devices 2014<\/li><li>Impacts of deployment strategies on localization performance in underwater acoustic sensor networks 2014<\/li><li>ZIL: An energy-efficient indoor localization system using ZigBee radio to detect WiFi fingerprints 2015<\/li><li>A Collaborative Secure Localization Algorithm Based on Trust Model in Underwater Wireless Sensor Networks 2016<\/li><li>Wearable Sensor Localization Considering Mixed Distributed Sources in Health Monitoring Systems 2016<\/li><li>PD source diagnosis and localization in industrial high-voltage insulation system via multimodal joint sparse representation 2016<\/li><li>MANCL: a multi\u2010anchor nodes collaborative localization algorithm for underwater acoustic sensor networks 2016<\/li><li>HMF: Heatmap and WiFi Fingerprint-Based Indoor Localization with Building Layout Consideration 2016<\/li><li>Impact of Irregular Radio and Faulty Nodes on Localization in Industrial WSNs 2016<\/li><li>Path-Loss-Based Fingerprint Localization Approach for Location-Based Services in Indoor Environments 2017<\/li><li>The critical patients localization algorithm using sparse representation for mixed signals in emergency healthcare system 2018<\/li><li>Improvement of Detection and Localization Performance Using the Receiving Array Response Difference Between Ocean Noise and Signal in Shallow Water 2019<\/li><\/ol><p><strong>Keyword\uff1aFault<\/strong><\/p><ol><li>A survey on fault-tolerance in distributed network systems \u00a02009<\/li><li>Vibration sensor based intelligent fault diagnosis system for large machine unit in petrochemical industry 2013<\/li><li>Designing Wireless Vibration Monitoring System for Petrochemical Units Fault Diagnosis 2015<\/li><li>WSNs-based mechanical equipment state monitoring and fault diagnosis in China 2015<\/li><li>Mobile big data fault-tolerant processing for eHealth networks 2016<\/li><li>An experimental study of clogging fault diagnosis in heat exchangers based on vibration signals 2016<\/li><li>Research of dimensionless index for fault diagnosis positioning based on EMD 2016<\/li><li>Cloud-based data-intensive framework towards fault diagnosis in large-scale petrochemical plants 2016<\/li><li>Impact of Irregular Radio and Faulty Nodes on Localization in Industrial WSNs 2016<\/li><li>A Short Survey on Fault Diagnosis in Wireless Sensor Networks 2016<\/li><li>Incipient fault diagnosis of roller bearing using optimized wavelet transform based multi-speed vibration signatures 2017<\/li><li>Lightweight flow management for software-defined wireless sensor networks with link fault in data plane 2017<\/li><li>A short survey on fault diagnosis of rotating machinery using entropy techniques 2017<\/li><li>A comparative study of WPD and EMD for shaft fault diagnosis 2017<\/li><li>Self-adaptive fault diagnosis of roller bearings using infrared thermal images 2017<\/li><li>A Survey on Fault Diagnosis in Wireless Sensor Networks 2018<\/li><li>Fine-to-coarse multiscale permutation entropy for rolling bearing fault diagnosis 2018<\/li><li>Bearing Fault Diagnosis using Multi-sensor Fusion based on weighted DS Evidence Theory 2018<\/li><li>A New Bearing Fault Diagnosis Method Based on Fine-to-Coarse Multiscale Permutation Entropy, Laplacian Score and SVM 2019<\/li><\/ol>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-33d15bf3 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"33d15bf3\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t\t<div class=\"elementor-background-overlay\"><\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-788af594\" data-id=\"788af594\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5e67b3bb elementor-widget elementor-widget-heading\" data-id=\"5e67b3bb\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Selected Publications of Each Year (Since 2003)<br><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5026f202 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"5026f202\" data-element_type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-4638d05 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"4638d05\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-b762178\" data-id=\"b762178\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5908e1c elementor-widget elementor-widget-text-editor\" data-id=\"5908e1c\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong>2020<\/strong><\/p><ul><li>A Survey on Smart Agriculture: Development Modes, Technologies, and Security and Privacy Challenges<\/li><li>High\u00a0Voltage\u00a0Discharge\u00a0Exhibits\u00a0Severe\u00a0Effect\u00a0on\u00a0ZigBee-based\u00a0Device\u00a0in\u00a0Solar\u00a0Insecticidal\u00a0Lamps\u00a0Internet\u00a0of\u00a0Things<\/li><li>From\u00a0Industry\u00a04.0\u00a0to\u00a0Agriculture\u00a04.0:\u00a0Current\u00a0Status,\u00a0Enabling\u00a0Technologies,\u00a0and\u00a0Research\u00a0Challenges<\/li><\/ul><p><strong>2019<\/strong><\/p><ul><li>Poster: Photovoltaic Agricultural Internet of Things &#8211; the Next Generation of Smart Farming<\/li><li>When mobile crowd sensing meets smart agriculture: poster<\/li><li>Sleep Scheduling for Unbalanced Energy Harvesting in Industrial Wireless Sensor Networks<\/li><\/ul><p><strong>2018<\/strong><\/p><ul><li>Survey of fog computing: Fundamental, network applications, and research challenges<\/li><li>Parked Vehicle Edge Computing: Exploiting Opportunistic Resources for Distributed Mobile Applications<\/li><li>A Survey on Fault Diagnosis in Wireless Sensor Networks<\/li><\/ul><p><strong>2017<\/strong><\/p><ul><li>Releasing network isolation problem in group-based industrial wireless sensor networks<\/li><li>Detecting the Dangerous Area of Toxic Gases with Wireless Sensor Networks<\/li><li>When mobile crowd sensing meets traditional industry<\/li><\/ul><p><strong>2016<\/strong><\/p><ul><li>Geographic routing in duty-cycled industrial wireless sensor networks with radio irregularity<\/li><li>An energy-efficient SDN based sleep scheduling algorithm for WSNs<\/li><li>A Survey on Gas Leakage Source Detection and Boundary Tracking with Wireless Sensor Networks<\/li><\/ul><p><strong>2015<\/strong><\/p><ul><li>Cross\u2010layer optimized routing in wireless sensor networks with duty cycle and energy harvesting<\/li><li>Using wearable equipment to construct monitoring maps in large-scale petrochemical plants<\/li><li>A smart helmet for network level early warning in large scale petrochemical plants<\/li><\/ul><p><strong>2014<\/strong><\/p><ul><li>Sleep scheduling for geographic routing in duty-cycled mobile sensor networks<\/li><li>Insights of Top-Query in Duty-Cycled Wireless Sensor Networks<\/li><li>A survey on communication and data management issues in mobile sensor networks<\/li><\/ul><p><strong>2013<\/strong><\/p><ul><li>Collaborative location-based sleep scheduling to integrate wireless sensor networks with mobile cloud computing<\/li><li>Performance evaluation of DV-hop localization algorithm with mobility models for Mobile Wireless Sensor Networks<\/li><li>Ziloc: Energy efficient wifi fingerprint-based localization with low-power radio<\/li><\/ul><p><strong>2012<\/strong><\/p><ul><li>The Insights of Localization through Mobile Anchor Nodes in Wireless Sensor Networks with Irregular Radio<\/li><li>A survey on coverage and connectivity issues in wireless sensor networks<\/li><li>An energy-efficient ckn algorithm for duty-cycled wireless sensor networks<\/li><\/ul><p><strong>2011<\/strong><\/p><ul><li>Mitigating Radio Irregularity Impact: An RSSI Calibration Method for Range-Free Localization in Sensor Networks<\/li><li>Geographic multipath routing in duty-cycled wireless sensor networks: One-hop or two-hop?<\/li><li>Removing heavily curved path: Improved dv-hop localization in anisotropic sensor networks<\/li><\/ul><p><strong>2010<\/strong><\/p><ul><li>TPGF: geographic routing in wireless multimedia sensor networks<\/li><li>NetTopo: A framework of simulation and visualization for wireless sensor networks<\/li><li>Impacts of duty-cycle on TPGF geographical multipath routing in wireless sensor networks<\/li><\/ul><p><strong>2009<\/strong><\/p><ul><li>Cross-layer optimized data gathering in wireless multimedia sensor networks<\/li><li>Visualizing simulation and testbed of wireless sensor networks with NetTopo<\/li><li>A remote monitoring system of IDC room based on ZigBee wireless sensor networks<\/li><\/ul><p><strong>2008<\/strong><\/p><ul><li>Transmitting and gathering streaming data in wireless multimedia sensor networks within expected network lifetime<\/li><li>Multi-priority multi-path selection for video streaming in wireless multimedia sensor networks<\/li><li>NetTopo: beyond simulator and visualizer for wireless sensor networks<\/li><\/ul><p><strong>2007<\/strong><\/p><ul><li>VIP bridge: leading ubiquitous sensor networks to the next generation<\/li><li>Transmitting streaming data in wireless multimedia sensor networks with holes<\/li><li>Stream data gathering in wireless sensor networks within expected lifetime<\/li><\/ul><p><strong>2006<\/strong><\/p><ul><li>Coverage-driven self-deployment for cluster based mobile sensor networks<\/li><li>Energy-efficient deployment of mobile sensor networks by PSO<\/li><li>Relay shift based self-deployment for mobility limited sensor networks<\/li><\/ul><p><strong>2005<\/strong><\/p><ul><li>ETRI-QM: Reward oriented query model for wireless sensor networks<\/li><li>Localized energy-aware broadcast protocol for wireless networks with directional antennas<\/li><li>Maximizing system value among interested packets while satisfying time and energy constraints<\/li><\/ul><p><strong>2004<\/strong><\/p><ul><li>ETRI: a dynamic packet scheduling algorithm for wireless sensor networks<\/li><\/ul><p><strong>2003<\/strong><\/p><ul><li>A survey on middleware for context-awareness in ubiquitous computing environments<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Recently updated on: 2023-12-12 Journal Papers 2023 Xu, &#8230; <a title=\"Publications\" class=\"read-more\" href=\"http:\/\/172.30.27.2\/index.php\/lei-shu-homepage\/lei-publications\/\" aria-label=\"More on Publications\">\u9605\u8bfb\u66f4\u591a<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":229,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-209","page","type-page","status-publish"],"_links":{"self":[{"href":"http:\/\/172.30.27.2\/index.php\/wp-json\/wp\/v2\/pages\/209","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/172.30.27.2\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/172.30.27.2\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/172.30.27.2\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/172.30.27.2\/index.php\/wp-json\/wp\/v2\/comments?post=209"}],"version-history":[{"count":30,"href":"http:\/\/172.30.27.2\/index.php\/wp-json\/wp\/v2\/pages\/209\/revisions"}],"predecessor-version":[{"id":5433,"href":"http:\/\/172.30.27.2\/index.php\/wp-json\/wp\/v2\/pages\/209\/revisions\/5433"}],"up":[{"embeddable":true,"href":"http:\/\/172.30.27.2\/index.php\/wp-json\/wp\/v2\/pages\/229"}],"wp:attachment":[{"href":"http:\/\/172.30.27.2\/index.php\/wp-json\/wp\/v2\/media?parent=209"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/172.30.27.2\/index.php\/wp-json\/wp\/v2\/categories?post=209"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/172.30.27.2\/index.php\/wp-json\/wp\/v2\/tags?post=209"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}