A self-localization algorithm for wireless sensor networks

Juelong Li, X. Du, Jianchun Xing, Qiliang Yang
{"title":"A self-localization algorithm for wireless sensor networks","authors":"Juelong Li, X. Du, Jianchun Xing, Qiliang Yang","doi":"10.1109/CCDC.2012.6243098","DOIUrl":null,"url":null,"abstract":"Considering the deficiencies and limitations of Multidimensional Scaling -based (MDS-MAP) localization algorithm, a new MDS-mass spring-based (MDS-MS) localization algorithm was proposed by analyzing the MDS-MAP algorithm and Mass Spring Optimization-based (MSO) positioning algorithm. Moreover, for different ranging error, network connectivity and anchor node density, MDS-MAP, MSO, MDS-MAP(P) and MDS-MS four localization algorithms were simulated and compared. The simulation results show that MDS-MS-based algorithm possesses strong robustness and high positioning precision, and is fit for localization in sparse network topology and irregular network topology.","PeriodicalId":345790,"journal":{"name":"2012 24th Chinese Control and Decision Conference (CCDC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 24th Chinese Control and Decision Conference (CCDC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCDC.2012.6243098","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Considering the deficiencies and limitations of Multidimensional Scaling -based (MDS-MAP) localization algorithm, a new MDS-mass spring-based (MDS-MS) localization algorithm was proposed by analyzing the MDS-MAP algorithm and Mass Spring Optimization-based (MSO) positioning algorithm. Moreover, for different ranging error, network connectivity and anchor node density, MDS-MAP, MSO, MDS-MAP(P) and MDS-MS four localization algorithms were simulated and compared. The simulation results show that MDS-MS-based algorithm possesses strong robustness and high positioning precision, and is fit for localization in sparse network topology and irregular network topology.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
一种无线传感器网络自定位算法
针对基于多维尺度(MDS-MAP)定位算法的不足和局限性,通过分析MDS-MAP算法和基于质量弹簧优化(Mass Spring optimization based, MSO)定位算法,提出了一种新的基于mds -质量弹簧(MDS-MS)的定位算法。此外,针对不同的测距误差、网络连通性和锚节点密度,对MDS-MAP、MSO、MDS-MAP(P)和MDS-MS 4种定位算法进行了仿真比较。仿真结果表明,基于mds - ms的定位算法具有较强的鲁棒性和较高的定位精度,适合于稀疏网络拓扑和不规则网络拓扑的定位。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Associated analysis of technological progress, economy and ecological environment Stable observer-based control for long network-induced delays Analysis of stabilizing control of discrete-time fuzzy bilinear system Global adaptive strategy to make a complex network attain an inhomogeneous equilibrium Stability analysis of a damped Timoshenko beam with Cattaneo's law
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1