Topology control algorithm target tracking-oriented

Authors:
Dongmei Yan;JinKuan Wang;Li Liu;Bin Wang;Peng Xu
Affiliations:
College of Information Science and Engineering, Northeastern University, ShenYang, Liaoning Province, China;College of Information Science and Engineering, Northeastern University, ShenYang, Liaoning Province, China;Engineer Optimization & Smart Antenna Institute, Northeastern University at Qinhuangdao, Qin huang dao, Hebei Province, China;Engineer Optimization & Smart Antenna Institute, Northeastern University at Qinhuangdao, Qin huang dao, Hebei Province, China;Engineer Optimization & Smart Antenna Institute, Northeastern University at Qinhuangdao, Qin huang dao, Hebei Province, China
Venue:
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Year:
2009

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Abstract

Target tracking in wireless sensor networks with limited recourses is a challenging problem. Thus, deployment of sensor nodes must focus on power conservation. It is possible to extend the lifetime of a network by controlling its topology through clustering. Topology control target tracking-oriented in wireless sensor network is proposed in this paper. When a target move to the sensing filed, cluster heads is located by fuzzy clustering, and then these cluster heads invite their neighboring sensors to form a cluster. The trajectory of targets is estimated by maximum entropy clustering. Utilizing cluster technology can make good use of each sensor nodes' limited energy and perform tasks coordinately.