稀疏无线网络中基于距离的分布式定位算法

Quentin Vey, R. Dalcé, A. Bossche, T. Val
{"title":"稀疏无线网络中基于距离的分布式定位算法","authors":"Quentin Vey, R. Dalcé, A. Bossche, T. Val","doi":"10.1109/ITNAC50341.2020.9315166","DOIUrl":null,"url":null,"abstract":"Wireless nodes localization has become a major research theme in recent years. Distributed and collaborative solutions are particularly interesting since the nodes can compute their own localisation without depending on external computational resources. In this paper, we present the context of distributed and cooperative localisation and the principles of a distributed Force-Based localisation algorithm. We then present an original algorithm: UWL (Uncertainty Weighted Localization). A performance evaluation of UWL has been conducted by simulation and the results are compared to the well-known PPE algorithm. The results show that UWL performs better than PPE on a scenario where a comparison with PPE is possible. On two others scenarios where the number of anchors is limited, the localisation accuracy depends on the network density; With a medium connectivity, the localisation accuracy is below 1m for 99% of the nodes, even though none of them is within range of more than 1 anchor.","PeriodicalId":131639,"journal":{"name":"2020 30th International Telecommunication Networks and Applications Conference (ITNAC)","volume":"267 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A distributed algorithm for range-based localization in sparse wireless networks\",\"authors\":\"Quentin Vey, R. Dalcé, A. Bossche, T. Val\",\"doi\":\"10.1109/ITNAC50341.2020.9315166\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wireless nodes localization has become a major research theme in recent years. Distributed and collaborative solutions are particularly interesting since the nodes can compute their own localisation without depending on external computational resources. In this paper, we present the context of distributed and cooperative localisation and the principles of a distributed Force-Based localisation algorithm. We then present an original algorithm: UWL (Uncertainty Weighted Localization). A performance evaluation of UWL has been conducted by simulation and the results are compared to the well-known PPE algorithm. The results show that UWL performs better than PPE on a scenario where a comparison with PPE is possible. On two others scenarios where the number of anchors is limited, the localisation accuracy depends on the network density; With a medium connectivity, the localisation accuracy is below 1m for 99% of the nodes, even though none of them is within range of more than 1 anchor.\",\"PeriodicalId\":131639,\"journal\":{\"name\":\"2020 30th International Telecommunication Networks and Applications Conference (ITNAC)\",\"volume\":\"267 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 30th International Telecommunication Networks and Applications Conference (ITNAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITNAC50341.2020.9315166\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 30th International Telecommunication Networks and Applications Conference (ITNAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITNAC50341.2020.9315166","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

无线节点定位是近年来研究的一个重要课题。分布式和协作解决方案特别有趣,因为节点可以在不依赖外部计算资源的情况下计算自己的定位。在本文中,我们介绍了分布式和协作定位的背景以及分布式基于力的定位算法的原理。然后,我们提出了一种原始算法:不确定性加权定位(UWL)。通过仿真对UWL算法进行了性能评估,并与著名的PPE算法进行了比较。结果表明,在可能与PPE进行比较的场景中,UWL的性能优于PPE。在另外两种锚点数量有限的情况下,定位精度取决于网络密度;在中等连通性下,99%的节点定位精度低于1m,即使它们都不在超过1个锚点的范围内。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A distributed algorithm for range-based localization in sparse wireless networks
Wireless nodes localization has become a major research theme in recent years. Distributed and collaborative solutions are particularly interesting since the nodes can compute their own localisation without depending on external computational resources. In this paper, we present the context of distributed and cooperative localisation and the principles of a distributed Force-Based localisation algorithm. We then present an original algorithm: UWL (Uncertainty Weighted Localization). A performance evaluation of UWL has been conducted by simulation and the results are compared to the well-known PPE algorithm. The results show that UWL performs better than PPE on a scenario where a comparison with PPE is possible. On two others scenarios where the number of anchors is limited, the localisation accuracy depends on the network density; With a medium connectivity, the localisation accuracy is below 1m for 99% of the nodes, even though none of them is within range of more than 1 anchor.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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:604180095
Book学术官方微信