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Journal of Sensors
Volume 2016 (2016), Article ID 9152962, 9 pages
Research Article

Efficient and Adaptive Node Selection for Target Tracking in Wireless Sensor Network

School of Electronic Information, Northwestern Polytechnical University, Xi’an 710072, China

Received 24 September 2014; Revised 9 May 2015; Accepted 20 May 2015

Academic Editor: Chi Chiu Chan

Copyright © 2016 Juan Feng et al. 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.


In target tracking wireless sensor network, choosing the proper working nodes can not only minimize the number of active nodes, but also satisfy the tracking reliability requirement. However, most existing works focus on selecting sensor nodes which are the nearest to the target for tracking missions and they did not consider the correlation of the location of the sensor nodes so that these approaches can not meet all the goals of the network. This work proposes an efficient and adaptive node selection approach for tracking a target in a distributed wireless sensor network. The proposed approach combines the distance-based node selection strategy and particle filter prediction considering the spatial correlation of the different sensing nodes. Moreover, a joint distance weighted measurement is proposed to estimate the information utility of sensing nodes. Experimental results show that EANS outperformed the state-of-the-art approaches by reducing the energy cost and computational complexity as well as guaranteeing the tracking accuracy.