Mobile and Ubiquitous Systems: Computing, Networking, and Services. 10th International Conference, MOBIQUITOUS 2013, Tokyo, Japan, December 2-4, 2013, Revised Selected Papers

Research Article

Fast and Accurate Wi-Fi Localization in Large-Scale Indoor Venues

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  • @INPROCEEDINGS{10.1007/978-3-319-11569-6_11,
        author={Seokseong Jeon and Young-Joo Suh and Chansu Yu and Dongsoo Han},
        title={Fast and Accurate Wi-Fi Localization in Large-Scale Indoor Venues},
        proceedings={Mobile and Ubiquitous Systems: Computing, Networking, and Services. 10th International Conference, MOBIQUITOUS 2013, Tokyo, Japan, December 2-4, 2013,  Revised Selected Papers},
        proceedings_a={MOBIQUITOUS},
        year={2014},
        month={12},
        keywords={WiFi fingerprints Indoor localization Probe response},
        doi={10.1007/978-3-319-11569-6_11}
    }
    
  • Seokseong Jeon
    Young-Joo Suh
    Chansu Yu
    Dongsoo Han
    Year: 2014
    Fast and Accurate Wi-Fi Localization in Large-Scale Indoor Venues
    MOBIQUITOUS
    Springer
    DOI: 10.1007/978-3-319-11569-6_11
Seokseong Jeon1,*, Young-Joo Suh1,*, Chansu Yu2,*, Dongsoo Han3,*
  • 1: POSTECH
  • 2: Cleveland State University
  • 3: KAIST
*Contact email: ngelquee@postech.ac.kr, yjsuh@postech.ac.kr, c.yu91@csuohio.edu, ddsshhan@kaist.ac.kr

Abstract

An interest and development of indoor localization has grown along with the scope of applications. In a large and crowded indoor venue, the population density of access points (APs) is typically much higher than that in small places. This may cause a client device such as a smartphone to capture an Wifi fingerprints (FPs), which is essential piece of data for indoor localization. This is due to the limited access time allocated per channel and collisions of responses from APs. It results in an extended delay for localization and a massive unnecessary traffic in addition to a high estimation error. This paper proposes a fast and accurate indoor localization method for large-scale indoor venues using a small subset of APs, called (rAPs). According to our experimental study in a large venue with 1,734 APs, the proposed method achieves the estimation error of 1.82.1 m, which can be considered a very competitive performance even in small-scale places with a few hundreds of APs.