A PRACTICAL APPROACH: NODE LOCALISATION ESTIMATION BASED ON RSSI FOR DISASTER CASES

O. Reich, Erik Hübner, M. Wagner
{"title":"A PRACTICAL APPROACH: NODE LOCALISATION ESTIMATION BASED ON RSSI FOR DISASTER CASES","authors":"O. Reich, Erik Hübner, M. Wagner","doi":"10.33965/ac2019_201912c035","DOIUrl":null,"url":null,"abstract":"An optimisation in localisation estimation is proposed based on received signal strength indicator (RSSI) measurements with a wireless mesh network (WMN) for urban environment. A mean deviation of 4.73 % between measured and real distances was achieved. The WMN is based on ZigBee nodes for the usage in disaster scenarios without any infrastructure. The WMN is build up for basic navigation, internet of things (IoT) integration and sensor communication. Only six wireless mesh nodes are deployed under urban conditions and cover an area of 7.4 hectare. Noise cancelling is accomplished by an alpha-beta filter.","PeriodicalId":432605,"journal":{"name":"Proceedings of the 16th International Conference on Applied Computing 2019","volume":"93 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 16th International Conference on Applied Computing 2019","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33965/ac2019_201912c035","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

An optimisation in localisation estimation is proposed based on received signal strength indicator (RSSI) measurements with a wireless mesh network (WMN) for urban environment. A mean deviation of 4.73 % between measured and real distances was achieved. The WMN is based on ZigBee nodes for the usage in disaster scenarios without any infrastructure. The WMN is build up for basic navigation, internet of things (IoT) integration and sensor communication. Only six wireless mesh nodes are deployed under urban conditions and cover an area of 7.4 hectare. Noise cancelling is accomplished by an alpha-beta filter.
一种实用的方法:基于rssi的节点定位估计
提出了一种基于城市环境下无线网状网络(WMN)接收信号强度指标(RSSI)测量的定位估计优化方法。测量距离与实际距离的平均偏差为4.73%。WMN基于ZigBee节点,可在没有任何基础设施的灾难场景中使用。WMN是为基本导航、物联网(IoT)集成和传感器通信而构建的。仅在城市条件下部署了6个无线网状节点,覆盖面积为7.4公顷。噪声消除是由α - β滤波器完成的。
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:604180095
Book学术官方微信