Energy-Efficient Fusion Estimation for Wireless Sensor Networks with Packet Losses
This paper is concerned with the optimal fusion estimation for a discrete-time stochastic dynamic process in wireless sensor networks (WSNs) with random packet losses. The various sensors in the WSN transmit measurements with a period that is integer multiple of the measurement sampling period to save energy, and the overall estimation system is described as a double-rate stochastic system with multiple stochastic parameters. The optimal fusion Kalman filters are designed by using the innovation analysis approach and are presented in terms of a set of recursive Riccati and Lyapunov equations. It is shown that the filtering performance critically depends on the measurement transmission period and the packet loss probabilities. An illustrative example is finally to show the effectiveness of the proposed results.
ZHANG Wen-An YU Li QIU Xiang CHEN Bo
College of Information Engineering, Zhejiang University of Technology, and Zhejiang Provincial Unite College of Information Engineering, Zhejiang University of Technology, and Zhejiang Provincial Unite
国际会议
The 30th Chinese Control Conference(第三十届中国控制会议)
烟台
英文
1-5
2011-07-01（万方平台首次上网日期，不代表论文的发表时间）