一种基于RSSI相似度的室内定位算法  

An Indoor Location Algorithm Base on RSSI-Similarity Degree

作　　者：杨东勇[1] 顾东袁[1] 傅晓婕[1] 

机构地区：[1]浙江工业大学软件学院,杭州310023

出　　处：《传感技术学报》2009年第2期264-268,共5页Chinese Journal of Sensors and Actuators

基　　金：国家863计划资助项目(2006AA01Z235)

摘　　要：无线传感器网络中节点的位置信息在很多应用中具有重要意义。本文研究了实际环境中节点的RSSI特性,为提高无线传感器节点定位的精度,提出了无线传感器节点在空间环境上的RSSI相似度概念,采用RSSI相似度作为权重因子,改进了加权质心算法。实验结果表明,改进后的算法具有更小的平均定位误差、更强的环境干扰鲁棒性。In the wireless sensor network（WSN）, the position information of the nodes are very important to many applications. The characteristics of RSSI in real environments are investigated. In order to improve the effects of RSSI error to WSN node localization precision, a conception of Node＇s RSSI-Similarity Degree in space environment is presented, which is used as weight factors to improve the Weighted Centroid Localization （WCL）. Experimental results show that the proposed algorithm has a smaller average location error and stronger robustness to environmental disturbance.

关 键 词：无线传感器网络 室内定位 RSSI相似度 加权质心定位 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]