Three-dimensional localisation for wireless sensor networks using probabilistic fuzzy logic

Shuang Gu, Yong Yue, C. Maple, Beisheng Liu, Chengdong Wu
{"title":"Three-dimensional localisation for wireless sensor networks using probabilistic fuzzy logic","authors":"Shuang Gu, Yong Yue, C. Maple, Beisheng Liu, Chengdong Wu","doi":"10.1109/FSKD.2013.6816229","DOIUrl":null,"url":null,"abstract":"The application of wireless sensor networks (WSNs) has been greatly improved by the advance of micro-electromechanical systems (MEMS) and radio frequency (RF) technology. Compared with the traditional networks, WSNs are data-centric, self-configuring and self healing. In this paper, a novel probabilistic fuzzy logic based localisation algorithm is proposed which can be effectively used in three-dimensional (3D) spaces for localisation in wireless sensor networks (LWSNs). Simulation results demonstrate that the proposed algorithm scales well and provides excellent positioning accuracy when varying different deployment models.","PeriodicalId":368964,"journal":{"name":"2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"2012 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FSKD.2013.6816229","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

The application of wireless sensor networks (WSNs) has been greatly improved by the advance of micro-electromechanical systems (MEMS) and radio frequency (RF) technology. Compared with the traditional networks, WSNs are data-centric, self-configuring and self healing. In this paper, a novel probabilistic fuzzy logic based localisation algorithm is proposed which can be effectively used in three-dimensional (3D) spaces for localisation in wireless sensor networks (LWSNs). Simulation results demonstrate that the proposed algorithm scales well and provides excellent positioning accuracy when varying different deployment models.
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
基于概率模糊逻辑的无线传感器网络三维定位
随着微机电系统(MEMS)和射频(RF)技术的发展,无线传感器网络(WSNs)的应用得到了极大的发展。与传统网络相比,无线传感器网络具有数据中心、自配置和自修复的特点。本文提出了一种新的基于概率模糊逻辑的定位算法,该算法可以有效地用于无线传感器网络(LWSNs)的三维空间定位。仿真结果表明,在不同的部署模型下,该算法具有良好的可扩展性和良好的定位精度。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Unsupervised clustering with the Octave Fuzzy Logic Toolkit Application of adaptive neuro-fuzzy inference system for physical habitat simulation Fuzzy equivalence relation clustering with transitive closure, transitive opening and the optimal transitive approximation A local domain adaptation feature extraction method A real-time algorithm for fixed-length short data compression
×
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