Distributed Consensus Filtering Based on Event-driven Transmission for Wireless Sensor Networks
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.
Distributed estimation Event-driven transmission Consensus filter
LI Wenshuang ZHU Shanying CHEN Cailian GUAN Xinping
Department of Automation, Shanghai Jiao Tong University, and Key Laboratory of System Control and In Department of Automation, Shanghai Jiao Tong University,and Key Laboratory of System Control and Inf
国际会议
The 31st Chinese Control Conference(第三十一届中国控制会议)
合肥
英文
6588-6593
2012-07-01（万方平台首次上网日期，不代表论文的发表时间）