A performance comparison between ROC-RSSI and trilateration localization techniques for WPAN sensor networks in a real outdoor testbed.

Eduardo Cassano, Francesco Florio, F. Rango, S. Marano
{"title":"A performance comparison between ROC-RSSI and trilateration localization techniques for WPAN sensor networks in a real outdoor testbed.","authors":"Eduardo Cassano, Francesco Florio, F. Rango, S. Marano","doi":"10.1109/WTS.2009.5068988","DOIUrl":null,"url":null,"abstract":"In sensor networks 802.15.4 WPAN, the most common technique used to calculate the distance between two nodes is the RSSI (Received Signal Strength Indicator) technique, because it has the advantage of not requiring additional hardware and synchronization on nodes. Some studies show that the RSSI index is fairly unreliable and often produces significant errors about the location of the nodes in the network. In this paper an approach to the problem of nodes localization in outdoor environment is proposed. In order to obtain more accurate distance estimation a scenario dependent ranging technique has been adopted. The goodness of the ranging model is estimated through a comparison with the classic model based on the path-loss log-distance; then two localization techniques such as Triangulation and RocRssi+ are used in order to test the improvement obtained for the estimated positions of nodes within the network.","PeriodicalId":313087,"journal":{"name":"2009 Wireless Telecommunications Symposium","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"35","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Wireless Telecommunications Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WTS.2009.5068988","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 35

Abstract

In sensor networks 802.15.4 WPAN, the most common technique used to calculate the distance between two nodes is the RSSI (Received Signal Strength Indicator) technique, because it has the advantage of not requiring additional hardware and synchronization on nodes. Some studies show that the RSSI index is fairly unreliable and often produces significant errors about the location of the nodes in the network. In this paper an approach to the problem of nodes localization in outdoor environment is proposed. In order to obtain more accurate distance estimation a scenario dependent ranging technique has been adopted. The goodness of the ranging model is estimated through a comparison with the classic model based on the path-loss log-distance; then two localization techniques such as Triangulation and RocRssi+ are used in order to test the improvement obtained for the estimated positions of nodes within the network.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
WPAN传感器网络ROC-RSSI与三边定位技术在室外试验台的性能比较。
在传感器网络802.15.4 WPAN中,用于计算两个节点之间距离的最常用技术是RSSI(接收信号强度指示器)技术,因为它具有不需要在节点上附加硬件和同步的优点。一些研究表明,RSSI指数是相当不可靠的,并且经常对网络中节点的位置产生重大误差。本文提出了一种解决室外环境下节点定位问题的方法。为了获得更精确的距离估计,采用了场景相关测距技术。通过与基于路径损失对数距离的经典模型的比较,估计了测距模型的优劣;然后利用Triangulation和RocRssi+两种定位技术对网络内节点的估计位置进行改进测试。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Blind correlation-based DFE receiver for the equalization of single input multi output communication channels Analysis of threshold of regular and irregular LDPC codes using Gaussian approximation Value analysis of technology evolution: Case mobile peer-to-peer communications New decision feedback channel estimation for OFDM systems Security risk analysis of RFID technology: A RFID tag life cycle approach
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1