一种减少测距误差的传感器网络定位算法  

A Reduction Ranging Error Location Algorithm for Sensor Networks

作　　者：严筱永[1,2] 钱焕延[1] 张燕[1,2] 阎浩[2] 高德民[1] 

机构地区：[1]南京理工大学计算机科学与技术学院,江苏南京210094 [2]金陵科技学院,江苏南京211169

出　　处：《计算机测量与控制》2011年第8期2058-2060,共3页Computer Measurement &Control

基　　金：国家自然科学基金(61005008;60803049;60875010);江苏省教育厅省属高校自然科学研究基金(09KJD510008);金陵科技学院青年基金项目资助(jit-n-201009)

摘　　要：接收信号强度(RSSI)常被作为无线传感器网络定位算法的测距技术,通常,获取的RSSI信号序列中同时存在随机误差和粗差两种误差,利用以往常用的算法都难以消除混合误差对RSSI测量统计数据的影响;在分析两种误差特征的基础上,提出了一种基于统计中值的加权定位算法,算法在去除粗差的基础上,能在一定程度上平滑了随机误差,算法不仅提高了定位的精度,同时提高了节点的覆盖率;理论分析和仿真结果都表明算法具有较高的定位精度和覆盖率,最优情况下定位精度较原先算法能够提高6.99%,而不可定位节点比例下降8.05%。RSSI is widely used to measure the distance in the location of wireless sensor network. There are random error and outliters in the RSSI signal. Usual algorithms cannot be used to delete the influence of the mixed errors. A location method based on statistics median is proposed in this paper on the analysis of error. The proposed method can delete outliers and filter random error, improve the accuracy of the location and coverage rate of nodes. Theoretical analysis and simulation show that our proposed method has high accuracy and coverage which positioning accuracy increase of about 7%, and unresolved node ratio decreased by about 8 %.

关 键 词：无线传感器网络 定位 RSSI测距 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]