传感技术学报Issue(8)：1228-1232,5.DOI:10.3969/j.issn.1004-1699.2015.08.021
基于粒子群优化的多维标度节点定位算法
Node Localization Algorithm Based on Particle Swarm Optimization and Multidimensional Scaling
摘要
Abstract
Aiming to reduce the interference with the external environment in position algorithms for wireless sensor networks,an improved multidimensional scaling algorithm based on particle swarm optimization is proposed. RSSI based on dynamic path loss exponent is used to range,establish a distance matrix,build a relative coordinate with multidimensional scaling,and acquire absolute coordinate through four parameters coordinate transformation mod⁃el. Then the difference of relative coordinate between absolute coordinate is utilized as the fitness function of parti⁃cle swarm optimization and optimizes the node position estimation through sub-swarm search. The simulation re⁃veals that the improved algorithm has good robustness to actual environmental impact,improves the node localiza⁃tion accuracy,and satisfies the needs of positioning system.关键词
无线传感器网络/节点定位/多维标度/粒子群Key words
wireless sensor networks/node localization/multidimensional scaling/particle swarm optimization分类
信息技术与安全科学引用本文复制引用
刘政..基于粒子群优化的多维标度节点定位算法[J].传感技术学报,2015,(8):1228-1232,5.基金项目
国家自然科学基金项目（61202007）；桂林航天工业学院基金项目 （）
