计算机工程与应用2009，Vol.45Issue(32)：72-74,103,4.DOI:10.3778/j.issn.1002-8331.2009.32.023
粒子群优化在无线传感器网络定位中的应用
Application of particle swarm optimization to positioning for wireless sensor networks
摘要
Abstract
Most previously proposed algorithms assume that nodes are deployed in planar area,however,these algorithms are unable to locate nodes of three-dimensional nets.For improving the positioning accuracy,this paper uses the Particle Swarm Optimization algorithm to achieve the positioning for wireless sensor networks.It computes the positions of unknown nodes using the Particle Swarm Optimization algorithms according to the positions of anchor nodes and unknown nodes.Through simulation and the least-squares method for the simulation results of the comparison,the results show that the algorithm can improve the node positioning accuracy effectively without increasing cubage,cost and power consumption.关键词
无线传感器网络/定位精度/粒子群优化算法/节点定位Key words
wireless sensor network / positioning accuracy/ Particle Swarm Optimization(PSO ) / node-positioning分类
计算机与自动化引用本文复制引用
邢明彦,李腊元..粒子群优化在无线传感器网络定位中的应用[J].计算机工程与应用,2009,45(32):72-74,103,4.基金项目
国家自然科学基金(the National Natural Science Foundation of China under Grant No.60672137,No.60773211) （the National Natural Science Foundation of China under Grant No.60672137,No.60773211）
教育部高等学校博士基金(No.20060497015). （No.20060497015）
