AN IMPROVED LOCALIZATION ALGORITHM FOR WIRELESS SENSOR NETWORK

被引：2

作者：

Chen, Xiaohui ^{[1
]}

He, Jing ^{[1
]}

Chen, Jinpeng ^{[1
]}

机构：

[1] China Three Gorges Univ, Coll Comp & Informat Technol, Yichang 443002, Peoples R China

来源：

INTELLIGENT AUTOMATION AND SOFT COMPUTING | 2011年 / 17卷 / 06期

关键词：

WSN; Localization; Segmentation; learning rate; Conjugate gradient;

D O I：

10.1080/10798587.2011.10643178

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In wireless sensor network (WSN), the basic requirement is the localization of nodes, it can make the application of wireless sensor network effectively, so it is the key to improve the accuracy of localization. This paper aims at the accuracy problem by range-based localization model, and two improved algorithms that based on negative gradient method are proposed for nodes localization errors in wireless sensor networks: segmentation Learning rate algorithms based on negative gradient; FR conjugate negative gradient algorithms. Under some priori assumptions, this paper gives the basic principles and two implementation algorithms. It is proved that these two improved algorithms are more accurate than some existing algorithms through the simulation results using Matlab.

引用

页码：675 / 685

页数：11