南京理工大学学报（自然科学版）2018，Vol.42Issue(3)：309-316,8.DOI:10.14177/j.cnki.32-1397n.2018.42.03.008
基于改进粒子滤波算法的无线传感器网络节点定位
Node localization in wireless sensor networks based on improved particle filter algorithm
摘要
Abstract
An improved state detection particle filter algorithm is proposed to solve the problem of non-line-of-sight error in the node localization of wireless sensor networks(WSNs). Nodes’ motion state is predicted by a random walk mobility model of the nodes. The measurements between nodes in the non-line-of-sight/line-of-sight ( NLOS/LOS) mixed situation are identified by Markov process. The measurements including the NLOS error are selected according to the p-norm expression. An anchor box and a sampling box are built according to adjusted measurements between nodes and nodes’true mobile speeds. Simulation results indicate that,the proposed algorithm has high position accuracy when the NLOS/LOS hybrid model satisfies the uniform distribution,the Gaussian distribu-tion and the exponential distribution respectively.关键词
移动定位/粒子滤波/无线传感器网络/非视距/马尔科夫过程/p-范数Key words
mobile localization/particle filter/wireless sensor networks/non-line-of-sight/Markov process/p-norm expression分类
信息技术与安全科学引用本文复制引用
王呈,吉训生,吴卫..基于改进粒子滤波算法的无线传感器网络节点定位[J].南京理工大学学报（自然科学版）,2018,42(3):309-316,8.基金项目
江苏省产学研前瞻性联合研究项目(BY2016022-28) （BY2016022-28）
