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

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

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Received: 6 July 2012; in revised form: 23 October 2012 / Accepted: 1 November 2012 / Published: 8 November 2012
(This article belongs to the Special Issue Ubiquitous Sensing)
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.
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
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MDPI and ACS Style

Chen, Y.-C.; Wen, C.-Y. Decentralized Cooperative TOA/AOA Target Tracking for Hierarchical Wireless Sensor Networks. Sensors 2012, 12, 15308-15337.

AMA Style

Chen Y-C, Wen C-Y. Decentralized Cooperative TOA/AOA Target Tracking for Hierarchical Wireless Sensor Networks. Sensors. 2012; 12(11):15308-15337.

Chicago/Turabian Style

Chen, Ying-Chih; Wen, Chih-Yu. 2012. "Decentralized Cooperative TOA/AOA Target Tracking for Hierarchical Wireless Sensor Networks." Sensors 12, no. 11: 15308-15337.

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