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International Journal of Distributed Sensor Networks
Volume 2013 (2013), Article ID 830950, 6 pages
Research Article

Energy-Efficient Node Selection for Target Tracking in Wireless Sensor Networks

Faculty of Mechanical & Electronic Information, China University of Geosciences, Wuhan, Hubei 430074, China

Received 24 October 2012; Accepted 3 January 2013

Academic Editor: Shuai Li

Copyright © 2013 Yong Wang and Dianhong Wang. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Saving energy while preserving accuracy is of paramount importance to target tracking in wireless sensor networks. This paper presents an energy-efficient selection of cooperative nodes. In the proposed method, the target detection probability is estimated by single-node processing based on particle filter. Then, an objective function for collaborative target tracking in wireless sensor networks is constructed according to the information utility and the remaining energy of sensor nodes. With this understanding, a dynamic node selection scheme based on genetic algorithms is proposed, which can optimize the tradeoff between the accuracy of tracking and the energy cost of nodes. Simulations demonstrate its superior performance in estimating the target location and saving sensor nodes energy.