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Distributed consensus filtering based on event-driven transmission for wireless sensor networks

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4 Author(s)
Li Wenshuang ; Department of Automation, Shanghai Jiao Tong University, and Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai 200240, P.R. China ; Zhu Shanying ; Chen Cailian ; Guan Xinping

This paper addresses a distributed event-based filtering problem for wireless sensor networks. In order to reduce the data transmission rate of the sensor nodes, we consider an event-driven transmission scheme based on the Kullback-Leibler divergence. In this scheme, each sensor node makes transmission decision only by using local data from its neighbors, and transmission occurs only if the Kullback-Leibler divergence exceeds a prescribed threshold. With this transmission scheme, we derive the optimal distributed consensus Kalman filter based on event-driven transmission. In order to get a scalable form of the filter, a suboptimal version of distributed consensus filter is then developed based on event-driven transmission. Finally, simulation studies are presented to validate the performance of the proposed algorithm.

Published in:

Control Conference (CCC), 2012 31st Chinese

Date of Conference:

25-27 July 2012