Research on Centroid Localization Algorithm in Wireless Sensor Networks

Author:

Hu Pingfang,Zhang Bo

Abstract

Abstract Localization of nodes is the key technology for application of wireless sensor network. The positioning accuracy of centroid localization algorithm completely depends on the size and the distribution density of anchor nodes. Anchor nodes are small and the density of anchor nodes are distributed randomly in actual application, so the positioning accuracy of centroid localization algorithm is relatively low. In order to improve the accuracy of nodes, a method which is centroid localization algorithm of wireless sensor network is proposed based on received signal strength indicator. In the algorithm, firstly, point-to-point signal intensity is computed by RSSI and converts its inverse distance as the centroid algorithm. Then the weights of centroid localization algorithm are used for calculating coordinates of the unknown node. Through the simulation algorithm for testing and analysis, the simulation results show that, compared with the traditional algorithm, the positioning error of the centroid localization algorithm is obviously reduced and the node location accuracy is improved. It is an effective localization algorithm for application of wireless sensor networks.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference4 articles.

1. Overview of wireless sensor networks [J];Ma;Acta communication Sinica,2014

2. GPS-less Low Cost Outdoor Localization for Very Small Devices[J];Bulusu;IEEE Personal Communications,2010

3. Self localization system and algorithm in wireless sensor networks [J];Wang;Acta Sinica Sinica,2015

4. Research on relative localization algorithm in wireless sensor networks [J];Su;Journal of sensor technology,2017

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3