测控技术2011，Vol.30Issue(12)：111-115,5.
WSNs中基于粒子群优化的节点定位算法
PSO-Based Node Localization Algorithm in WSNs
孙懋珩 1廖根健1
作者信息
- 1. 同济大学电子与信息工程学院,上海201804
- 折叠
摘要
Abstract
The node localization technology of wireless sensor networks( WSNs) is one of key issues. Received signal strength indicator (RSSI) technology is used widely in node localization, because it is not necessary to add any other equipments. In order to improve the positioning accuracy, a node localization algorithm based on particle swarm optimization (PSO) algorithm is proposed. Firstly, the algorithm measures the distance between the unknown node and neighboring anchor nodes using RSSI, and then uses PSO algorithm to localize the unknown node and gets the coordinates. Compared with genetic algorithm based localization and simulated annealing based localization, the simulation results show the proposed algorithm can effectively suppress the impact of ranging error accumulation, and improve the localization accuracy.关键词
无线传感器网络/节点定位/RSSI/粒子群优化算法/锚节点Key words
wireless sensor networks/ node localization/ RSSI/ PSO/ anchor node分类
信息技术与安全科学引用本文复制引用
孙懋珩,廖根健..WSNs中基于粒子群优化的节点定位算法[J].测控技术,2011,30(12):111-115,5.
