Triple Mobile Anchors Approach for Localization in WSN

Bashaer Khalil Ibrahim, M. A. Mahdi, M. A. Salman
{"title":"Triple Mobile Anchors Approach for Localization in WSN","authors":"Bashaer Khalil Ibrahim, M. A. Mahdi, M. A. Salman","doi":"10.1109/CSASE48920.2020.9142084","DOIUrl":null,"url":null,"abstract":"Localization in WSNs provides critical data for decisions when collecting data from wide area spread sensors. Using embedded GPS unit on sensor board is not a cost-effective solution Therefore; researchers have paid more attention to locate sensors in WSNs without using many GPSs units. Several algorithms have been suggested for this purpose. However, they are different in terms of cost and accuracy. This paper is going to suggest a new range-based algorithm called Triple Mobile Anchors for Localization (TMAL). This algorithm is based on three mobile sensors that form a mobile triangle to locate unknown sensors. As other approaches, it uses Receive Signal Strength indicator (RSSI). Besides, the algorithm assumes that the mobile anchors are chargeable to avoid the energy issue. Based on a method known as the Relative Side Coordinates (RSC) the simulation results emphasis of the proposed algorithm compare by RELMA-method1 and RELMA-method 2, the TMAL has good accuracy and low cost. It shows how to control the accuracy based on the area of the mobile triangle.","PeriodicalId":254581,"journal":{"name":"2020 International Conference on Computer Science and Software Engineering (CSASE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Computer Science and Software Engineering (CSASE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSASE48920.2020.9142084","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Localization in WSNs provides critical data for decisions when collecting data from wide area spread sensors. Using embedded GPS unit on sensor board is not a cost-effective solution Therefore; researchers have paid more attention to locate sensors in WSNs without using many GPSs units. Several algorithms have been suggested for this purpose. However, they are different in terms of cost and accuracy. This paper is going to suggest a new range-based algorithm called Triple Mobile Anchors for Localization (TMAL). This algorithm is based on three mobile sensors that form a mobile triangle to locate unknown sensors. As other approaches, it uses Receive Signal Strength indicator (RSSI). Besides, the algorithm assumes that the mobile anchors are chargeable to avoid the energy issue. Based on a method known as the Relative Side Coordinates (RSC) the simulation results emphasis of the proposed algorithm compare by RELMA-method1 and RELMA-method 2, the TMAL has good accuracy and low cost. It shows how to control the accuracy based on the area of the mobile triangle.
基于移动锚点的WSN定位方法
当从广域传感器收集数据时,无线传感器网络中的定位为决策提供了关键数据。因此,在传感器板上使用嵌入式GPS单元不是一种经济有效的解决方案;如何在无线传感器网络中实现不使用大量gps单元的传感器定位已成为研究热点。为此提出了几种算法。然而,它们在成本和准确性方面有所不同。本文提出了一种新的基于距离的定位算法——三移动定位锚(TMAL)。该算法基于三个移动传感器组成一个移动三角形来定位未知传感器。与其他方法一样,它使用接收信号强度指示器(RSSI)。此外,该算法假设移动锚是可充电的,以避免能量问题。基于相对侧坐标(Relative Side Coordinates, RSC)方法,将本文算法的仿真结果与RELMA-method1和RELMA-method 2的仿真结果进行了对比,结果表明该算法具有较好的精度和较低的成本。演示了如何根据移动三角形的面积来控制精度。
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