Abstract
In this paper, we present fast and efficient target recovery algorithm for a distributed wireless sensor network with dynamic clustering. As sensor nodes have limited power, the nodes performing frequent computation and communication have problem of battery exhaustion, causing failure in participation of tracking. Also, nodes may fail due to physical destruction. These reasons of node failure may result in loss of target during tracking. Therefore, we propose an efficient detection of lost target and recovery (DLTR) algorithm to recover lost target using the Kalman filter. From the simulation results, it is evident that, the proposed recovery algorithm outperforms existing algorithm in literature.
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Patil, S., Gupta, A., Zaveri, M. (2012). Efficient Target Recovery in Wireless Sensor Network. In: Meghanathan, N., Nagamalai, D., Chaki, N. (eds) Advances in Computing and Information Technology. Advances in Intelligent Systems and Computing, vol 176. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31513-8_40
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DOI: https://doi.org/10.1007/978-3-642-31513-8_40
Publisher Name: Springer, Berlin, Heidelberg
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