传感技术学报2016，Vol.29Issue(11)：1724-1730,7.DOI:10.3969/j.issn.1004-1699.2016.11.016
基于时序蒙特卡洛的WSN节点定位算法
Node Localization Algorithm for WSN Based on Time Sequence Monte Carlo
摘要
Abstract
A new node localization algorithm is proposed for WSN(Wireless Sensor Network),which combines the feedback time series with the Monte Carlo localization,named as TSMCL. The possible initial sampling region of the target node,R1 is determined by the feedback time order from no less than three anchor nodes,which are the one-hop neighbors of the target node. In order to shrink the sampling region and improve the sampling efficiency, the final sampling region R is limited to the overlapped area of R1 and Monte Carlo sampling region(R2). Simulation results demonstrate that compared with Monte Carlo localization,the proposed TSMCL algorithm reduce the posi⁃tioning error up to 38%or so,and meanwhile,the convergence speed is improved significantly,especially for high mobility.关键词
无线传感器网络/时序排列/蒙特卡洛定位/定位算法Key words
WSN/chronological sequence/MCL/localization algorithm分类
信息技术与安全科学引用本文复制引用
田浩杉,李翠然,谢健骊,梁樱馨..基于时序蒙特卡洛的WSN节点定位算法[J].传感技术学报,2016,29(11):1724-1730,7.基金项目
国家自然科学基金项目（61261014）；光电技术与智能控制教育部重点实验室（兰州交通大学）开放课题项目（KFKT2016-2）；甘肃省自然科学基金项目 （）
