Linear-regression-based Weighted Centroid Localization Algorithm in Wireless Sensor Network

被引：0

作者：

Hu Yu ^{[1
]}

Yao Weizhao ^{[1
]}

机构：

[1] Taiyuan Univ Technol, Measuring & Controlling Technol Inst, Taiyuan 030024, Peoples R China

来源：

CEIS 2011 | 2011年 / 15卷

关键词：

wireless sensor network; centroid localization algorithm; linear regression; localization error;

D O I：

10.1016/j.proeng.2011.08.575

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Based on establishment of mathematical models, this paper proposed a new localization algorithm based on range-free mechanism which called linear-regression-based weighted centroid localization algorithm. This algorithm improved weighted centroid localization algorithm by the use of hops between nodes, centralizaion and then calibrated the nodes' position by the use of linear regression. Finally, the algorithm corrected the position through certain parameters. On matlab simulation platform, comparing with the original centroid localization algorithm, this new algorithm's average localization error dropped by more than half and localization ratio was increased to close to 1. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of [CEIS 2011]

引用

页数：5