%0 Journal Article
%T Improved algorithm of ranging and locating based on RSSI<br>改进的RSSI测距和定位算法
%A WAN Guo-feng
%A ZHONG Jun
%A YANG Cheng-hui
%A <br>万国峰
%A 钟　俊
%A 杨成慧
%J 计算机应用研究
%D 2012
%I 
%X This paper analyzed he 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 a 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.
%K wireless sensor networks
%K Gauss model
%K distance measure based on RSSI
%K path dispersion index
%K node localization<br>无线传感器网络
%K 高斯模型
%K RSSI测距
%K 路径散逸指数
%K 节点定位
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=AB5C24B90CF8948FFA190077B5DB76C4&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=708DD6B15D2464E8&sid=1F9FC8055717A5EF&eid=D23AB80C344B19F4&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=9