Robust target localization with multi-party cooperation in wireless sensor networks

Liang Ding; Xue Wang; Daowei Bi

doi:10.1117/12.806283

13 October 2008 Robust target localization with multi-party cooperation in wireless sensor networks

Liang Ding, Xue Wang, Daowei Bi

Proceedings Volume 7127, Seventh International Symposium on Instrumentation and Control Technology: Sensors and Instruments, Computer Simulation, and Artificial Intelligence; 71270T (2008) https://doi.org/10.1117/12.806283
Event: Seventh International Symposium on Instrumentation and Control Technology, 2008, Beijing, China

Abstract

Fault tolerant target localization is an important issue in wireless sensor networks. Faulty sensor nodes generate arbitrary data, which make the cooperation result untrustworthy. In this paper, multi-party cooperation between sensor nodes is used to estimate the target location robustly and accurately. We assign each sensor node a reliability level (RL) to qualify its data fidelity. A RL-weighted scheme is used to select the sensor node nearest to the target to perform as a processing node, which executes a particle swarm optimization algorithm to solve the maximum likelihood function of target location distribution. Each sensor node's RL is then updated according to the current data quality determined by the estimated target location. Experimental results show that although more than 50% sensor nodes are faulty, target localization error decreases over time and ultimately achieve a low level.

Citation Download Citation

Liang Ding, Xue Wang, and Daowei Bi "Robust target localization with multi-party cooperation in wireless sensor networks", Proc. SPIE 7127, Seventh International Symposium on Instrumentation and Control Technology: Sensors and Instruments, Computer Simulation, and Artificial Intelligence, 71270T (13 October 2008); https://doi.org/10.1117/12.806283

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