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ICASSP
2009
IEEE

Decentralized variational filtering for simultaneous sensor localization and target tracking in binary sensor networks

8 years 11 months ago
Decentralized variational filtering for simultaneous sensor localization and target tracking in binary sensor networks
Resource limitations in wireless sensor networks have put stringent constraints on distributed signal processing. In this paper, we propose a cluster-based decentralized variational filtering algorithm with minimum resource allocation for simultaneous sensor localization and target tracking. At each sampling instant, only one cluster of sensors is activated according to the prediction of the target state. Slave sensors employ a binary proximity observation model to reduce energy consumption and minimize communication cost. Based on the binary measurements between sensors and the target, activated sensors and target location estimates are interdependently improved. By adopting the variational method, the inter-cluster information exchange is reduced to one single Gaussian statistic, further minimizing resource consumption in the network. Since the measurement incorporation and the approximation of the filtering distribution are jointly performed by variational calculus, an effective ...
Jing Teng, Hichem Snoussi, Cédric Richard
Added 21 May 2010
Updated 21 May 2010
Type Conference
Year 2009
Where ICASSP
Authors Jing Teng, Hichem Snoussi, Cédric Richard
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