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Sensors 2012, 12(11), 15308-15337; doi:10.3390/s121115308
Article

Decentralized Cooperative TOA/AOA Target Tracking for Hierarchical Wireless Sensor Networks

 and
*
Department of Electrical Engineering, Graduate Institute of Communication Engineering, National Chung Hsing University, Taichung 402, Taiwan
* Author to whom correspondence should be addressed.
Received: 6 July 2012 / Revised: 23 October 2012 / Accepted: 1 November 2012 / Published: 8 November 2012
(This article belongs to the Special Issue Ubiquitous Sensing)

Abstract

This paper proposes a distributed method for cooperative target tracking in hierarchical wireless sensor networks. The concept of leader-based information processingis conducted to achieve object positioning, considering a cluster-based network topology. Random timers and local information are applied to adaptively select a sub-cluster for thelocalization task. The proposed energy-efficient tracking algorithm allows each sub-clustermember to locally estimate the target position with a Bayesian filtering framework and a neural networking model, and further performs estimation fusion in the leader node with the covariance intersection algorithm. This paper evaluates the merits and trade-offs of the protocol design towards developing more efficient and practical algorithms for objectposition estimation. 
Keywords: wireless sensor networks; target tracking; Bayesian filtering; neural networking; covariance intersection wireless sensor networks; target tracking; Bayesian filtering; neural networking; covariance intersection
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).
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Chen, Y.-C.; Wen, C.-Y. Decentralized Cooperative TOA/AOA Target Tracking for Hierarchical Wireless Sensor Networks. Sensors 2012, 12, 15308-15337.

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