计算机工程与应用Issue(17)：114-119,6.DOI:10.3778/j.issn.1002-8331.1210-0074
基于RSSI等级的蒙特卡罗定位算法应用研究
Application and research on Monte Carlo localization algorithm based on RSSI rank
摘要
Abstract
The localization of perceptive nodes is the foundation for WSN(Wireless Sensor Network)applications. The existing static localization algorithms can not be used in dynamic sensor networks. In this paper, the so-called RRMCL (RSSI Rank Monte Carlo Localization)localization algorithm is proposed, which is about WSN applications where target nodes are moving while anchor nodes are static. The algorithm based on MCL divides communication region to reduce the size of sampling area by using the monotonic decreasing relation between RSSI value and the distance. In order to avoid localization failure caused by anchor node collinearity, the algorithm puts forward a constraint strategy which brings collinearity impact angle. The simulation results show that the proposed RRMCL can effectively reduce sampling area and improve the localization accuracy and speed, comparing with existing MCL and MCB algorithms.关键词
无线传感网络/移动定位/蒙特卡罗/接收信号强度指示Key words
Wireless Sensor Network(WSN)/mobile localization/Monte Carlo/Received Signal Strength Indication(RSSI)分类
信息技术与安全科学引用本文复制引用
吴世通,陈良,李云飞,曹红飞..基于RSSI等级的蒙特卡罗定位算法应用研究[J].计算机工程与应用,2014,(17):114-119,6.基金项目
国家自然科学基金（No.60775045，No.61003259）；江苏省科技计划项目（No.BC2011084）；苏州市科技计划项目（No. SG201101）。 （）
