An improved DV-Hop localization algorithm in wireless sensor networks

Mohaddeseh Peyvandi, A. Pouyan
{"title":"An improved DV-Hop localization algorithm in wireless sensor networks","authors":"Mohaddeseh Peyvandi, A. Pouyan","doi":"10.1109/SPIS.2015.7422331","DOIUrl":null,"url":null,"abstract":"Localization as a fundamental issue has a challenge in wireless sensor networks (WSNs). Many approaches have been proposed to solve the inaccurate node localization. Among range-free algorithms, DV-Hop (Distance Vector-hop) is a well-known localization algorithm that utilizes of hop-distance estimation to locate sensor nodes. This has lead positioning accuracy is limited. In this paper, an improved DV-HOP algorithm based on the hop-size correction and localization optimization is put forward. Firstly, based on difference of actual and estimated distance between reference nodes an effective hop-size is calculated for whole network; secondly, a correction value is added to the hops between unknown nodes and reference nodes while received signal strength indicator (RSSI) value is used to correct the distance of single hop. Finally, the Levenberg-Marquardt algorithm is applied to estimate an optimize position for each sensors. In evaluation step, various factors that affect the localization accuracy of the DV-Hop are investigated. Simulation results show that the proposed algorithm has been significantly improved compared to the basic DV-Hop and some existing improved algorithms.","PeriodicalId":424434,"journal":{"name":"2015 Signal Processing and Intelligent Systems Conference (SPIS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 Signal Processing and Intelligent Systems Conference (SPIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPIS.2015.7422331","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

Localization as a fundamental issue has a challenge in wireless sensor networks (WSNs). Many approaches have been proposed to solve the inaccurate node localization. Among range-free algorithms, DV-Hop (Distance Vector-hop) is a well-known localization algorithm that utilizes of hop-distance estimation to locate sensor nodes. This has lead positioning accuracy is limited. In this paper, an improved DV-HOP algorithm based on the hop-size correction and localization optimization is put forward. Firstly, based on difference of actual and estimated distance between reference nodes an effective hop-size is calculated for whole network; secondly, a correction value is added to the hops between unknown nodes and reference nodes while received signal strength indicator (RSSI) value is used to correct the distance of single hop. Finally, the Levenberg-Marquardt algorithm is applied to estimate an optimize position for each sensors. In evaluation step, various factors that affect the localization accuracy of the DV-Hop are investigated. Simulation results show that the proposed algorithm has been significantly improved compared to the basic DV-Hop and some existing improved algorithms.
一种改进的无线传感器网络DV-Hop定位算法
定位作为无线传感器网络的一个基本问题,在无线传感器网络中面临着挑战。为了解决节点定位不准确的问题,人们提出了许多方法。在无距离定位算法中,DV-Hop (Distance Vector-hop)是一种著名的定位算法,它利用跳距估计来定位传感器节点。这就导致定位精度受到限制。本文提出了一种基于跳数修正和定位优化的改进DV-HOP算法。首先,根据参考节点之间实际距离和估计距离的差异,计算整个网络的有效跳数;其次,对未知节点与参考节点之间的跳数增加一个校正值,并使用接收信号强度指示器(received signal strength indicator, RSSI)值校正单跳距离。最后,应用Levenberg-Marquardt算法估计每个传感器的最优位置。在评价步骤中,研究了影响DV-Hop定位精度的各种因素。仿真结果表明,与基本的DV-Hop和现有的一些改进算法相比,该算法有了明显的改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信