南京邮电大学学报（自然科学版）2012，Vol.32Issue(1)：24-28,5.
基于RSS的WSN多目标定位压缩感知算法优化
The Optimization of Compressed Sensing Algorithm for Multi-target Localization via RSS in WSN
摘要
Abstract
Target localization is one of the most challenging and important issues in wireless sensor networks ( WSNs). The best residence match method is used to optimize compressed sensing algorithm and increase the precision of localization as result. The system framework of multi-target localization via compressed sensing stopping rule is proposed. The effectiveness of the optimization algorithm is to save the energy of WSN nodes by minimizing inter-node communication. As the result, the lifetime of the WSN is prolonged. Emulation results show that the localization performance is improved by the proposed algorithm.关键词
压缩感知/无线传感器网络/多目标定位Key words
compressed sensing/wireless sensor networks/multiple target localization分类
信息技术与安全科学引用本文复制引用
何风行,余志军,吕政,刘海涛..基于RSS的WSN多目标定位压缩感知算法优化[J].南京邮电大学学报（自然科学版）,2012,32(1):24-28,5.基金项目
国家重点基础研究发展计划(973计划)(2011CB302906)、国家科技重大专项(2010ZX03006-006)资助项目 （973计划）
