%0 Journal Article
%T Research on node localization based on particle swarm optimization for WSNs<br>基于粒子群优化算法的WSNs节点定位研究
%A WANG Xiao-le
%A XU Jia-pin
%A <br>王晓乐
%A 徐家品
%J 计算机应用
%D 2009
%I 
%X In order to improve the localization accuracy, a new localization algorithm was proposed based on particle swarm optimization for wireless sensor networks. The new algorithm is easy to achieve and has a few parameters to adjust. Through multiple iterative optimization, it can improve the localization accuracy. The experimental results show that the localization accuracy and stability of the new algorithm are significantly superior to that of the maximum likelihood estimation algorithm.
%K wireless sensor networks
%K localization
%K maximum likelihood estimation
%K particle swarm optimization<br>无线传感器网络
%K 定位
%K 极大似然估计
%K 粒子群优化算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=4BE1E52A81BBDB40219C788EDA34142D&yid=DE12191FBD62783C&vid=771469D9D58C34FF&iid=0B39A22176CE99FB&sid=3F419E61BD389CC8&eid=DDDA4F26E8AD3C0E&journal_id=1001-9081&journal_name=计算机应用&referenced_num=1&reference_num=9