%0 Journal Article
%T Robust Node Localization Based on Distributed Weighted-multidimensional Scaling in Wireless Sensor Networks<br>一种基于加权多尺度分析技术的鲁棒节点定位算法
%A LUO Hai-Yong
%A LI Jin-Tao
%A ZHAO Fang
%A LIN Quan
%A ZHU Zhen-Min
%A YUAN Wu
%A <br>罗海勇
%A 李锦涛
%A 赵方
%A 林权
%A 朱珍民
%A 袁武
%J 自动化学报
%D 2008
%I 
%X This paper focuses on the robustness of node localization in various topological and sparse network.By taking account of the number of 1-hop neighboring nodes,the node position accuracy and the ranging errors,we introduce concepts of node relative localization error and relative reliability,and then propose a robust node localization algorithm based on distributed weighted-multidimensional scaling.It adaptively chooses those neighboring nodes with high relative reliability to join in the node position refinement according to local node density and their relative localization errors within 2 hops,and adopts a weighting scheme proportional to the relative reliability which emphasizes the lowest relative error within the sensor networks.For received signal strength based range measurements,extensive simulation shows that this algorithm can prevent large localization errors from spreading through the networks.Compared with dwMDS(G), this algorithm can decrease iterative times by one half and gain about 5% smaller localization errors in sparse node density or anisotropic topologies.
%K Wireless sensor networks
%K localization
%K distributed weighted-multidimensional scaling
%K adaptive neighborhood selection
%K relative reliability<br>无线传感器网络
%K 定位
%K 分布式加权多尺度分析
%K 自适应邻居选择
%K 相对可信度
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=F788FFF7A68A6FB342FEBFC1603B31DF&yid=67289AFF6305E306&vid=339D79302DF62549&iid=38B194292C032A66&sid=334C61CAF4C8EF4E&eid=E42CAFB11D4BE21A&journal_id=0254-4156&journal_name=自动化学报&referenced_num=0&reference_num=28