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ChinaCom2008-Wireless Communications and Networking Symposium

Research Article

RadLoco: A Rapid and Low Cost Indoor Location-Sensing System

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BibTeX Plain Text
  • @INPROCEEDINGS{10.1109/CHINACOM.2008.4685105,
        author={Eugene Hyun and Michael McGuire and Mihai Sima},
        title={RadLoco: A Rapid and Low Cost Indoor Location-Sensing System},
        proceedings={ChinaCom2008-Wireless Communications and Networking Symposium},
        publisher={IEEE},
        proceedings_a={CHINACOM2008-WCN},
        year={2008},
        month={11},
        keywords={Location-sensing system wireless LAN radio received signal strength sensory networks kernel estimation},
        doi={10.1109/CHINACOM.2008.4685105}
    }
    
  • Eugene Hyun
    Michael McGuire
    Mihai Sima
    Year: 2008
    RadLoco: A Rapid and Low Cost Indoor Location-Sensing System
    CHINACOM2008-WCN
    IEEE
    DOI: 10.1109/CHINACOM.2008.4685105
Eugene Hyun1,*, Michael McGuire1,*, Mihai Sima1,*
  • 1: Department of Electrical and Computer Engineering, University of Victoria P.O. Box 3055 Stn CSC, Victoria, BC, V8W 3P6, Canada
*Contact email: hyune@engr.uvic.ca, mmcguire@ece.uvic.ca, msima@ece.uvic.ca

Abstract

Ubiquitous location-aware systems and services are becoming a reality as made evident by the widely known Global Position System. However, indoor location-aware sensing systems are not yet commercially viable since the indoor signal propagation is complex and difficult to model. In this paper, we present RadLoco, a location-sensing system using IEEE 802.11 wireless LAN radio Received Signal Strength (RSS) maps. The system makes use of a rapid and cost-effective survey data collection tool using an radio/ultrasonic sensory network. To provide highly accurate location estimation, we make use of a kernel-window estimation algorithm. Our experimental results indicate that a 2000 m sq. office building is surveyed in eight hours by a single technician, and that the mobile terminal is located with a mean error of less than 2.5 m.

Keywords
Location-sensing system wireless LAN radio received signal strength sensory networks kernel estimation
Published
2008-11-21
Publisher
IEEE
Modified
2010-05-16
http://dx.doi.org/10.1109/CHINACOM.2008.4685105
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