%0 Journal Article
%T Twice-weighted centroid localization algorithm based on distance geometry constraints<br>基于距离几何约束的二次加权质心定位算法
%A ZHU Jian-xin
%A GAO Lei-na
%A ZHANG Xin-fang
%A <br>朱建新
%A 高蕾娜
%A 张新访
%J 计算机应用
%D 2009
%I 
%X Taking Cayley-Menger determinant in the two-dimension real space as the distance geometry constraints, combined with the weighted centroid computing, a twice-weighted centroid localization algorithm based on distance geometry constraints (DGC-TWCL) was presented in this paper. C-M determinant was utilized to get the optimization results of distance measurements errors so that inaccurate distances among nodes were corrected to some extent. Twice-weighted centroid computation by weighted factors reflects that different anchor nodes have respective influence degrees in the process of determining the localization coordinates. The experimental results indicate that DGC-TWCL has better localization precision, algorithm scalability and robustness.
%K wireless sensor network
%K localization
%K Cayley-Menger determinant
%K distance geometry constraints
%K weighted centroid<br>无线传感器网络
%K 定位
%K Cayley-Menger行列式
%K 距离几何约束
%K 加权质心
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=9F4DCB5A7E85CF572116078A51688D2D&yid=DE12191FBD62783C&vid=771469D9D58C34FF&iid=0B39A22176CE99FB&sid=03436AC72A659ACA&eid=07C6E4664BB7C5DA&journal_id=1001-9081&journal_name=计算机应用&referenced_num=3&reference_num=9