基于RSSI修正的相似度推荐定位算法  

Similarity recommended localization algorithm based on RSSI amended

作　　者：皇苏斌[1] 张婷婷[2] 王忠群[1] 汪千松[1] 

机构地区：[1]安徽工程大学计算机与信息学院,安徽芜湖241000 [2]重庆工程职业技术学院信息工程学院,重庆400037

出　　处：《安徽工程大学学报》2013年第3期69-72,共4页Journal of Anhui Polytechnic University

基　　金：安徽省自然科学基金资助项目(070412058)

摘　　要：针对RSSI测距容易受到环境干扰,提出一种基于RSSI修正的相似度推荐定位算法.该算法对RSSI测距数据进行残差修正,以减小RSSI误差对定位精度的影响,并利用样本点与未知定位区域的相似度来确定未知节点的坐标,降低了计算复杂度.仿真结果表明算法有效可行,可较好地改善节点定位精度.Against the fact of being vulnerable to various interference for RSSI ranging, a similarity recommended localization algorithm based on RSSI amended was presented. In order to reduce the influence of localization precision from RSSI error, the RSSI ranging data was amended as residual,and use the similarity between the sample points and unknown location area was used to estimate the coordinates of unknown nodes and avoid the high computing complexity. The results of the simulation show that the algorithm is feasible and makes the localization precision more accurate.

关 键 词：无线传感器网络 RSSI 计算复杂度 相似度 定位精度 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]