OPTIMIZED ENERGY EFFICIENT CLUSTERING AND ROUTING MECHANISM FOR TARGET TRACKING IN WSN
Article Sidebar
Published
Sep 13, 2018
Download
Statistic
Main Article Content
Abstract
Wireless Sensor Network plays a vital role in tracking the mobility of the target like animals habitat monitoring, vehicle monitoring etc. Many researches have been carried out for the precise identity of the target. In this research work, a distributed energy optimization method for target tracking is performed. The proposed work is comprised of estimation phase and prediction phase. Here, clustering is performed using maximum entropy clustering method. Grid exclusion and Dijkstra algorithm are used for coverage and energy metrics respectively. Performance evaluation is carried out for the proposed target tracking method with the existing systems using network simulator software.
Article Details
References
[1] S. Susca, F. Bullo, and S. Martinez, Monitoring environmental boundaries with a robotic sensor network, IEEE Trans. Control Syst. Technol., vol. 16, no. 2, Mar. 2008, pp. 288–296
[2] A. Olteanu, Y. Xiao, K. Wu, and X. Du, ‘An optimal sensor network for intrusion detection, Proc. IEEE Int. Conf. Commun., 2009, pp. 1–5
[3] S. Shin, T. Kwon, G.-Y. Jo, Y. Park, and H. Rhy, An experimental study of hierarchical intrusion detection for wireless industrial sensor networks, IEEE Trans. Ind. Inform., vol. 6, no. 4, Nov. 2010., pp. 744–757
[4] J. Meyer, R. Bischoff, G. Feltrin, and M. Motavalli, Wireless sensor networks for long-term structural health monitoring’, Smart Structures Syst., vol. 6, no. 3, 2010, pp. 263– 275.
[5] G. Isbitiren and O. B. Akan, Three- dimensional underwater target tracking with acoustic sensor networks, IEEE Trans. Veh. Technology’, vol. 60, no. 8, 2011, pp. 3897– 3906
[6] S. Misra and S. Singh, Localized policy-based target tracking using wireless sensor networks’, ACM Trans. Sensor Netw., vol. 8, no. 3,2012, pp. 1–30
[7] Amir G. Aghdam and Hamid Mahboubi, Maximum Lifetime Strategy for Target Monitoring With Controlled Node Mobility in Sensor Networks with Obstacles, IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 61, NO. 11, NOVEMBER 2016, pp. 3493-3508.
[8] Leibing Yan, Yin Lu, And Yerong Zhang, An Improved NLOS Identification and Mitigation Approach for Target Tracking in Wireless Sensor Networks, IEEE Access, SPECIAL SECTION ON THE NEW ERA OF SMART CITIES:SENSORS,COMMUNICATION TECHNOLOGIES AND APPLICATIONS, 2017, pp. 2798- 2807.
[9] Yang Zhang, Yun Liu, Zhenjiang Zhang, Han- Chieh Chao, Jing Zhang, and Qing Liu, A Weighted Evidence Combination Approach for Target Identification in Wireless Sensor Networks, IEEE Access, SPECIAL SECTION ON INTELLIGENT SYSTEMS FOR THE INTERNET OF THINGS, Vol 5 , 2017, pp. 21585-21596.
[10] Mahmuda Akter, Md. Obaidur Rahman, md. Nazrul Islam, Mohammad Mehedi Hassan Ahmed Alsanad and Arun Kumar Sangaiah, Energy-Efficient Tracking and Localization of Objects in Wireless Sensor Networks, IEEE Access, SPECIAL SECTION ON SURVIVABILITY STRATEGIES FOR EMERGING WIRELESS NETWORKS, Vol 6, 2018, pp. 17165-17177.
[11] Xue Wang, Junjie Ma, Sheng WangDistributed Energy Optimization for Target Tracking in Wireless Sensor Networks, Distributed Energy Optimization for Target Tracking in Wireless Sensor Networks, IEEE TRANSACTIONS ON MOBILE COMPUTING, VOL. 9, NO. 1, JANUARY 2009, pp. 73-86
[12] X. Wang, A. Jiang, and S. Wang, Mobile Agent Based Wireless Sensor Network for Intelligent Maintenance, Lecture Notes in Computer Science, pp. 316-325, Springer, Mar. 2005.
[13] X. Wang and S. Wang , Collaborative Signal Processing for Target Tracking in Distributed Wireless Sensor Networks, J. Parallel and Distributed Computing, vol. 67, pp. 501-515.
[2] A. Olteanu, Y. Xiao, K. Wu, and X. Du, ‘An optimal sensor network for intrusion detection, Proc. IEEE Int. Conf. Commun., 2009, pp. 1–5
[3] S. Shin, T. Kwon, G.-Y. Jo, Y. Park, and H. Rhy, An experimental study of hierarchical intrusion detection for wireless industrial sensor networks, IEEE Trans. Ind. Inform., vol. 6, no. 4, Nov. 2010., pp. 744–757
[4] J. Meyer, R. Bischoff, G. Feltrin, and M. Motavalli, Wireless sensor networks for long-term structural health monitoring’, Smart Structures Syst., vol. 6, no. 3, 2010, pp. 263– 275.
[5] G. Isbitiren and O. B. Akan, Three- dimensional underwater target tracking with acoustic sensor networks, IEEE Trans. Veh. Technology’, vol. 60, no. 8, 2011, pp. 3897– 3906
[6] S. Misra and S. Singh, Localized policy-based target tracking using wireless sensor networks’, ACM Trans. Sensor Netw., vol. 8, no. 3,2012, pp. 1–30
[7] Amir G. Aghdam and Hamid Mahboubi, Maximum Lifetime Strategy for Target Monitoring With Controlled Node Mobility in Sensor Networks with Obstacles, IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 61, NO. 11, NOVEMBER 2016, pp. 3493-3508.
[8] Leibing Yan, Yin Lu, And Yerong Zhang, An Improved NLOS Identification and Mitigation Approach for Target Tracking in Wireless Sensor Networks, IEEE Access, SPECIAL SECTION ON THE NEW ERA OF SMART CITIES:SENSORS,COMMUNICATION TECHNOLOGIES AND APPLICATIONS, 2017, pp. 2798- 2807.
[9] Yang Zhang, Yun Liu, Zhenjiang Zhang, Han- Chieh Chao, Jing Zhang, and Qing Liu, A Weighted Evidence Combination Approach for Target Identification in Wireless Sensor Networks, IEEE Access, SPECIAL SECTION ON INTELLIGENT SYSTEMS FOR THE INTERNET OF THINGS, Vol 5 , 2017, pp. 21585-21596.
[10] Mahmuda Akter, Md. Obaidur Rahman, md. Nazrul Islam, Mohammad Mehedi Hassan Ahmed Alsanad and Arun Kumar Sangaiah, Energy-Efficient Tracking and Localization of Objects in Wireless Sensor Networks, IEEE Access, SPECIAL SECTION ON SURVIVABILITY STRATEGIES FOR EMERGING WIRELESS NETWORKS, Vol 6, 2018, pp. 17165-17177.
[11] Xue Wang, Junjie Ma, Sheng WangDistributed Energy Optimization for Target Tracking in Wireless Sensor Networks, Distributed Energy Optimization for Target Tracking in Wireless Sensor Networks, IEEE TRANSACTIONS ON MOBILE COMPUTING, VOL. 9, NO. 1, JANUARY 2009, pp. 73-86
[12] X. Wang, A. Jiang, and S. Wang, Mobile Agent Based Wireless Sensor Network for Intelligent Maintenance, Lecture Notes in Computer Science, pp. 316-325, Springer, Mar. 2005.
[13] X. Wang and S. Wang , Collaborative Signal Processing for Target Tracking in Distributed Wireless Sensor Networks, J. Parallel and Distributed Computing, vol. 67, pp. 501-515.