改进的RSSI测距和定位算法  

Improved algorithm of ranging and locating based on RSSI

作　　者：万国峰[1] 钟俊[2] 杨成慧[1] 

机构地区：[1]西北民族大学电气工程学院,兰州730030 [2]四川大学电气信息学院,成都610065

出　　处：《计算机应用研究》2012年第11期4156-4158,共3页Application Research of Computers

基　　金：西北民族大学"中央高校基本科研业务费专项资金"资助项目(ZYZ2011052;ZYZ2012058);四川省科技支撑计划项目(2011GZ005)

摘　　要：分析了RSSI(received signal strength indicator)测距的原理及环境对RSSI的影响。论述了高斯模型校正算法,该算法中因含有与环境相关的路径散逸指数而产生较大测距误差。针对这一问题,提出了基于锚节点的高斯校正算法,该算法以锚节点对之间的已知距离和测量的RSSI值为参考,对由被测RSSI值得到的距离进行校正,消除了路径散逸指数,并用网络连通信息和RSSI联合定位。仿真结果证明:采用锚节点的高斯校正算法进行定位不受环境影响,不同环境下最大定位波动为0.11%,定位误差显著减小,可应用到实际的无线传感器网络的定位系统中。This paper analyzed the theory of distance measurement based on RSSI and the influence of environment on RSSI.It discussed the improved Gauss model algorithm,and introduced larger ranging error due to environmental path dispersion index.In order to solve this problem,it proposed an improved Gauss algorithm based on anchor nodes.In this algorithm,it used the known distance and measured RSSI between anchornodes to correct the distance by being measured RSSI value,and eliminated path dispersion index.Then it used both network connectivity information and RSSI to locate.Simulation result shows that location error of anchor node-Gauss algorithm is independ on environment,the most fluctuation of localization is 0.11% in different enviroment,and location errors are also decreased significantly.So this algorithm can be used in real location system for wireless sensor networks.

关 键 词：无线传感器网络 高斯模型 接收信号强度指标测距 路径散逸指数 节点定位 

分 类 号：TP393[自动化与计算机技术—计算机应用技术] TP301.6[自动化与计算机技术—计算机科学与技术]