Wi-Fi fine time measurement–Principles, applications, and future trends: A survey

IF 15.5 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Information Fusion Pub Date : 2025-06-01 Epub Date: 2025-02-03 DOI:10.1016/j.inffus.2025.102992
Yuan Wu , Mengyi He , Wei Li , Izzy Yi Jian , Yue Yu , Liang Chen , Ruizhi Chen
{"title":"Wi-Fi fine time measurement–Principles, applications, and future trends: A survey","authors":"Yuan Wu ,&nbsp;Mengyi He ,&nbsp;Wei Li ,&nbsp;Izzy Yi Jian ,&nbsp;Yue Yu ,&nbsp;Liang Chen ,&nbsp;Ruizhi Chen","doi":"10.1016/j.inffus.2025.102992","DOIUrl":null,"url":null,"abstract":"<div><div>IEEE 802.11–2016 proposed the Wi-Fi Fine Time Measurement (FTM) protocol, aiming at providing meter or sub-meter level ranging function between smart terminals and Wi-Fi access points (APs). Compared with other indoor positioning technologies for instance, Bluetooth, acoustic, visible light, Ultra-wideband, etc., Wi-Fi has been characterized by low cost, no deployment, and potentially high positioning precision, especially with the enhancement of FTM, which enables Wi-Fi to be a competitive technology for Internet of Things, indoor location-based services (iLBSs), smart city, and many other fields. In this article, we first present a comprehensive survey that focuses on the Wi-Fi FTM technology, which contains the working principle, measurement for positioning, and methods comparison. We highlight the current FTM-related localization methods especially learning and multi-source fusion-based approaches. Then, we review the real-world applications and existing commercial solutions, revealing the possible directions for the industrialization of Wi-Fi FTM localization. Finally, this paper analyzes existing open issues of Wi-Fi FTM positioning (e.g., capability, scalability, multipath, NLOS, device heterogeneity, and privacy) and discusses the potential development trends.</div></div>","PeriodicalId":50367,"journal":{"name":"Information Fusion","volume":"118 ","pages":"Article 102992"},"PeriodicalIF":15.5000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Fusion","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S156625352500065X","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/3 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0

Abstract

IEEE 802.11–2016 proposed the Wi-Fi Fine Time Measurement (FTM) protocol, aiming at providing meter or sub-meter level ranging function between smart terminals and Wi-Fi access points (APs). Compared with other indoor positioning technologies for instance, Bluetooth, acoustic, visible light, Ultra-wideband, etc., Wi-Fi has been characterized by low cost, no deployment, and potentially high positioning precision, especially with the enhancement of FTM, which enables Wi-Fi to be a competitive technology for Internet of Things, indoor location-based services (iLBSs), smart city, and many other fields. In this article, we first present a comprehensive survey that focuses on the Wi-Fi FTM technology, which contains the working principle, measurement for positioning, and methods comparison. We highlight the current FTM-related localization methods especially learning and multi-source fusion-based approaches. Then, we review the real-world applications and existing commercial solutions, revealing the possible directions for the industrialization of Wi-Fi FTM localization. Finally, this paper analyzes existing open issues of Wi-Fi FTM positioning (e.g., capability, scalability, multipath, NLOS, device heterogeneity, and privacy) and discusses the potential development trends.
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
Wi-Fi精细时间测量——原理、应用和未来趋势:综述
IEEE 802.11-2016提出了Wi-Fi Fine Time Measurement (FTM)协议,旨在提供智能终端与Wi-Fi接入点(ap)之间的米级或亚米级测距功能。与蓝牙、声学、可见光、超宽带等其他室内定位技术相比,Wi-Fi具有成本低、无需部署、定位精度高的特点,特别是随着FTM技术的增强,Wi-Fi在物联网、室内定位服务(iLBSs)、智慧城市等诸多领域具有竞争力。在本文中,我们首先对Wi-Fi FTM技术进行了全面的综述,包括工作原理、定位测量和方法比较。我们重点介绍了目前与ftm相关的定位方法,特别是基于学习和多源融合的方法。然后,我们回顾了现实应用和现有的商业解决方案,揭示了Wi-Fi FTM本地化产业化的可能方向。最后,本文分析了Wi-Fi FTM定位存在的开放性问题(如能力、可扩展性、多路径、NLOS、设备异构性和隐私性),并讨论了潜在的发展趋势。
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
Information Fusion
Information Fusion 工程技术-计算机:理论方法
CiteScore
33.20
自引率
4.30%
发文量
161
审稿时长
7.9 months
期刊介绍: Information Fusion serves as a central platform for showcasing advancements in multi-sensor, multi-source, multi-process information fusion, fostering collaboration among diverse disciplines driving its progress. It is the leading outlet for sharing research and development in this field, focusing on architectures, algorithms, and applications. Papers dealing with fundamental theoretical analyses as well as those demonstrating their application to real-world problems will be welcome.
期刊最新文献
(a, b)-FG-functionals: a generalization of the Sugeno integral with floating domains in arbitrary closed real intervals and its applications FedCLIPOT: Federated CLIP model via parameter reusing and optimal transport Normalization-driven optimization of knowledge graph creation for semantically grounded information fusion Towards underwater image enhancement via meta-gated fusion strategy and domain adaptation Fast fuzzy clustering via sparse anchor graph with manifold and balance regularizations
×
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