Title :
Distributed consensus filtering based on event-driven transmission for wireless sensor networks
Author :
Wenshuang, Li ; Shanying, Zhu ; Cailian, Chen ; Xinping, Guan
Author_Institution :
Dept. of Autom., Shanghai Jiao Tong Univ., Shanghai, China
Abstract :
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.
Keywords :
Kalman filters; filtering theory; wireless sensor networks; Kullback-Leibler divergence; data transmission rate reduction; distributed consensus filtering; distributed event-based filtering problem; event-driven transmission scheme; optimal distributed consensus Kalman filter; sensor node; sensor nodes; wireless sensor networks; Covariance matrix; Data communication; Estimation error; Kalman filters; Nickel; Wireless sensor networks; Consensus filter; Distributed estimation; Event-driven transmission;
Conference_Titel :
Control Conference (CCC), 2012 31st Chinese
Conference_Location :
Hefei
Print_ISBN :
978-1-4673-2581-3