MS-Loc: Toward Pervasive Indoor Localization Utilizing Mobile Single-Site
Nie, Wendi Wang, Xiaoyang Liu, Zexing Duan, Yaoxin Lam, Kam-Yiu Liu, Kai
Nie, Wendi
Wang, Xiaoyang
Liu, Zexing
Duan, Yaoxin
Lam, Kam-Yiu
Liu, Kai
Supervisor
Department
Computer Science
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Type
Journal Article
Date
2025
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Language
English
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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.
Citation
W. Nie et al., "MS-Loc: Toward Pervasive Indoor Localization Utilizing Mobile Single-Site," in IEEE Internet of Things Journal, doi: 10.1109/JIOT.2024.3525026.
Source
IEEE Internet of Things Journal
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Keywords
Indoor Localization, Mobile Single-site, Pervasive Localization, Wireless Sensing
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Publisher
IEEE