Robust Cooperative Node Localization in Wireless Sensor Networks
Node localization in mobile wireless sensor networks is a challenging task because of the changing environments and outlying sensor readings. A robust cooperative localization algorithm based on particle filter is proposed in this paper to deal with this non-Gaussian and non-linear estimation problem. Trace prediction, genetic crossover operation and node cooperation methods are used to optimize the particle quality and weight, so as to improve the localization accuracy of the algorithm. Only the inexpensive binary sensors are needed to provide observation information which makes the algorithm suit for almost every type of wireless sensor networks. Simulation results demonstrate that the proposed algorithm outperforms other classical localization methods while with low anchor node density.
localization particle filter wireless sensor networks cooperative
Jie Wang Hongyu Wang Qinghua Gao Xiaoyun Zhang
Faculty of Electronic Information and Electrical Engineering Dalian University of Technology Dalian 116023, P.R. China
国际会议
2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)
大连
英文
761-765
2010-07-05(万方平台首次上网日期,不代表论文的发表时间)