一种基于几何三角定位的无线传感器网络定位方案在城市搜救目标跟踪中的应用

P. Kristalina, Aries Pratiarso, T. Badriyah, E. Putro
{"title":"一种基于几何三角定位的无线传感器网络定位方案在城市搜救目标跟踪中的应用","authors":"P. Kristalina, Aries Pratiarso, T. Badriyah, E. Putro","doi":"10.1109/ICSITECH.2016.7852643","DOIUrl":null,"url":null,"abstract":"Wireless sensor networks (WSNs) have been widely used for monitoring, tracking or object navigating whether stationer or mobile object. The system could be implemented in indoor or outdoor area. Disaster activity in urban area such as earthquake, tornado even militant activity inside the building need an object tracking in order to carry out search and rescue procedure for the victims or rescuers. Localization technique in indoor area encounters some problems which related to environment characteristics such as building material, multipath, reflection and other parameters which will decrease the accuracy of estimated object position. We propose a geometric triangulation scheme as an alternative way of calculating the estimated position of the object, based on the angle of arrival between an object node and its references. This scheme is free from environment problem. The simulation result shows that using least square method through the average of position error the estimated position accuracy will be increased up to 22.27% better than the previous triangulation scheme.","PeriodicalId":447090,"journal":{"name":"2016 2nd International Conference on Science in Information Technology (ICSITech)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"A wireless sensor networks localization using geometric triangulation scheme for object tracking in urban search and rescue application\",\"authors\":\"P. Kristalina, Aries Pratiarso, T. Badriyah, E. Putro\",\"doi\":\"10.1109/ICSITECH.2016.7852643\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wireless sensor networks (WSNs) have been widely used for monitoring, tracking or object navigating whether stationer or mobile object. The system could be implemented in indoor or outdoor area. Disaster activity in urban area such as earthquake, tornado even militant activity inside the building need an object tracking in order to carry out search and rescue procedure for the victims or rescuers. Localization technique in indoor area encounters some problems which related to environment characteristics such as building material, multipath, reflection and other parameters which will decrease the accuracy of estimated object position. We propose a geometric triangulation scheme as an alternative way of calculating the estimated position of the object, based on the angle of arrival between an object node and its references. This scheme is free from environment problem. The simulation result shows that using least square method through the average of position error the estimated position accuracy will be increased up to 22.27% better than the previous triangulation scheme.\",\"PeriodicalId\":447090,\"journal\":{\"name\":\"2016 2nd International Conference on Science in Information Technology (ICSITech)\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 2nd International Conference on Science in Information Technology (ICSITech)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSITECH.2016.7852643\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 2nd International Conference on Science in Information Technology (ICSITech)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSITECH.2016.7852643","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12

摘要

无线传感器网络(WSNs)已广泛应用于固定物体或移动物体的监测、跟踪或导航。该系统可在室内或室外使用。城市地区的灾害活动,如地震、龙卷风甚至建筑物内的武装活动都需要物体跟踪,以便对受害者或救援人员进行搜救程序。室内区域定位技术会遇到一些与建筑材料、多径、反射等环境特性有关的问题,这些问题会降低目标位置估计的精度。我们提出了一种几何三角测量方案,作为计算物体估计位置的一种替代方法,该方法基于物体节点与其参考点之间的到达角度。该方案不存在环境问题。仿真结果表明,采用最小二乘法对定位误差进行平均,估计的定位精度比原来的三角剖分方案提高22.27%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A wireless sensor networks localization using geometric triangulation scheme for object tracking in urban search and rescue application
Wireless sensor networks (WSNs) have been widely used for monitoring, tracking or object navigating whether stationer or mobile object. The system could be implemented in indoor or outdoor area. Disaster activity in urban area such as earthquake, tornado even militant activity inside the building need an object tracking in order to carry out search and rescue procedure for the victims or rescuers. Localization technique in indoor area encounters some problems which related to environment characteristics such as building material, multipath, reflection and other parameters which will decrease the accuracy of estimated object position. We propose a geometric triangulation scheme as an alternative way of calculating the estimated position of the object, based on the angle of arrival between an object node and its references. This scheme is free from environment problem. The simulation result shows that using least square method through the average of position error the estimated position accuracy will be increased up to 22.27% better than the previous triangulation scheme.
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:481959085
Book学术官方微信