Node localization in WSN using trigonometric figures

Salvador Jauregui-Ortiz, Mario Siller, Felix Ramos
{"title":"Node localization in WSN using trigonometric figures","authors":"Salvador Jauregui-Ortiz, Mario Siller, Felix Ramos","doi":"10.1109/WISNET.2011.5725030","DOIUrl":null,"url":null,"abstract":"Wireless Sensor Network for their rapid deployment can be used in habitat monitoring for detecting fire and in disaster for helping rescue teams. Node localization is key factor for some applications. We propose the Triangular Centroid Localization algorithm (TCL). It is based in simple trigonometric figures and it does not require special hardware or synchronization time. In our simulations using the received signal strength indicator; TCL improves the accuracy of Centroid Localization (CL) in 54% and Weighted Centroid Localization (WCL) in 64%; using the link quality indicator it improves to CL in 38% and WCL in 64.98%.","PeriodicalId":128026,"journal":{"name":"2011 IEEE Topical Conference on Wireless Sensors and Sensor Networks","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE Topical Conference on Wireless Sensors and Sensor Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WISNET.2011.5725030","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13

Abstract

Wireless Sensor Network for their rapid deployment can be used in habitat monitoring for detecting fire and in disaster for helping rescue teams. Node localization is key factor for some applications. We propose the Triangular Centroid Localization algorithm (TCL). It is based in simple trigonometric figures and it does not require special hardware or synchronization time. In our simulations using the received signal strength indicator; TCL improves the accuracy of Centroid Localization (CL) in 54% and Weighted Centroid Localization (WCL) in 64%; using the link quality indicator it improves to CL in 38% and WCL in 64.98%.
基于三角图形的WSN节点定位
无线传感器网络的快速部署可用于栖息地监测,探测火灾,并在灾害中帮助救援队伍。节点定位是一些应用程序的关键因素。提出了三角质心定位算法(TCL)。它基于简单的三角图形,不需要特殊的硬件或同步时间。在我们的模拟中使用接收信号强度指示器;TCL将质心定位(CL)的准确率提高了54%,加权质心定位(WCL)的准确率提高了64%;使用链接质量指标,提高到38%的CL和64.98%的WCL。
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