Abstract
The rapid progress of wireless communication and embedded micro sensing technologies has made wireless sensor networks possible. Target tracking is an important application of wireless sensor networks. Good tracking quality and energy efficiency are the key requirements for any protocol designed for target tracking sensor networks. In this paper, we present a novel protocol, Adaptive Dynamic Cluster-based Tracking (ADCT), for tracking a mobile target. This protocol uses the optimal choice mechanism and dynamic cluster-based approach to achieve a good tracking quality and energy efficiency by optimally choosing the nodes that participate in tracking and minimizing the communication overhead, thus prolongs the lifetime of the whole sensor network. Simulation results show that our protocol can accurately track a target with random moving speeds and cost much less energy than other protocols for target tracking.
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References
Chuang, S.C.: Survey on target tracking in wireless sensor networks. Dept. of Computer Science National Tsing Hua University (2005)
Zhang, W., Cao, G.: Dctc: Dynamic convoy tree-based collaboration for target tracking in sensor networks. IEEE Trans. Wireless Commun. 11(5) (2004)
Zhang, W., Hou, J., Sha, L.: Dynamic clustering for acoustic target tracking in wireless sensor networks. In: Proc. IEEE Int. Conf. Network Protocols, ICNP (2003)
Zhao, F., Shin, J., Reich, J.: Information-driven dynamic sensor collaboration for tracking applications. IEEE Signal Proces. Mag. (2002)
Xu, Y., Winter, J., Lee, W.-C.: Dual prediction-based reporting for object tracking sensor networks. In: Proceedings of MOBIQUTOUS (2004)
Xu, Y., Lee, W.-C.: Prediction-based strategies for energy saving in object tracking sensor networks. In: Proceedings of Mobile Data Management (2004)
Gui, C., Mohapatra, P.: Power conservation and quality of surveillance in target tracking sensor networks. In: Proc. ACM Mobicom Conf. (2004)
Gupta, R., Das, S.R.: Tracking moving targets in a smart sensor network. In: Proc. VTC Symp. (2003)
Chu, M., Haussecker, H., Zhao, F.: Scalable Information-Driven Sensor Querying and Routing for ad hoc Heterogeneous Sensor Networks (2001)
Aslam, J., Butler, Z., Crespi, V., Cybenko, G., Rus, D.: Tracking a moving object with a binary sensor network. In: Proc. ACM Int. Conf. Embedded Networked Sensor PSystems, SenSys (2003)
Tseng, Y.-C., Kuo, S.-P., Lee, H.-W., Huang, C.-F.: Location tracking in a wireless sensor network by mobile agents and its data fusion strategies. In: International Workshop on Information Processing in Sensor Networks (2003)
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© 2007 Springer Berlin Heidelberg
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Yang, W., Fu, Z., Kim, J., Park, MS. (2007). An Adaptive Dynamic Cluster-Based Protocol for Target Tracking in Wireless Sensor Networks. In: Dong, G., Lin, X., Wang, W., Yang, Y., Yu, J.X. (eds) Advances in Data and Web Management. APWeb WAIM 2007 2007. Lecture Notes in Computer Science, vol 4505. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72524-4_19
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DOI: https://doi.org/10.1007/978-3-540-72524-4_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72483-4
Online ISBN: 978-3-540-72524-4
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