MS-Loc: Toward Pervasive Indoor Localization Utilizing Mobile Single-Site

Wendi Nie, Xiaoyang Wang, Zexing Liu, Yaoxin Duan*, Kam Yiu Lam, Kai Liu, Joseph K.Y. Ng, Chun Jason Xue

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

Abstract

Leveraging the widespread deployment of existing WiFi sites, WiFi-based techniques offer substantial potential for achieving pervasive indoor localization among various indoor localization techniques. Conventional WiFi-based indoor localization techniques primarily focus on providing fine-grained accuracy. However, previous techniques are not pervasive due to the following constraints: 1) they can hardly be implemented in environments with limited resources of WiFi sites; and 2) they are constrained by high hardware requirements, such as the need for multiple antennas. In this paper, we propose a novel technique called Mobile Single-site Localization (MS-Loc), which leverages a mobile single-site to perform indoor localization. Specifically, MS-Loc utilizes existing hardware at off-the-shelf mobile WiFi sites to achieve pervasive localization rather than relying on multiple sites or multiple antennas. Moreover, in MS-Loc, a tailor-designed path planning algorithm guides the movement of the mobile single-site to locate targets quickly and accurately. We conducted extensive experiments using a real-world testbed. The experimental results demonstrate that MS-Loc presents a competitive localization accuracy compared to previous techniques but is pervasive.

Original languageEnglish
Number of pages15
JournalIEEE Internet of Things Journal
DOIs
Publication statusE-pub ahead of print - 6 Jan 2025

Scopus Subject Areas

  • Signal Processing
  • Information Systems
  • Hardware and Architecture
  • Computer Science Applications
  • Computer Networks and Communications

User-Defined Keywords

  • Indoor Localization
  • Mobile Single-site
  • Pervasive Localization
  • Wireless Sensing

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