Efficient Target Recovery in Wireless Sensor Network

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 176)


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.


Recovery Tracking Kalman filter Wireless Sensor Network 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Department of Computer EngineeringSardar Vallabhbhai National Institute of TechnologySuratIndia

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