• DocumentCode
    169041
  • Title

    Poster abstract: MaWi: A hybrid Magnetic and Wi-Fi system for scalable indoor localization

  • Author

    Chi Zhang ; Jun Luo ; Jianxin Wu

  • Author_Institution
    Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore
  • fYear
    2014
  • fDate
    15-17 April 2014
  • Firstpage
    275
  • Lastpage
    276
  • Abstract
    We present MaWi - a smart phone based scalable indoor localization system. Central to MaWi is a novel framework combining two self-contained but complementary localization techniques: Wi-Fi and Ambient Magnetic Field. Combining the two techniques, MaWi not only achieves a high localization accuracy, but also effectively reduces human labor in building fingerprint databases: to avoid war-driving, MaWi is designed to work with low quality fingerprint databases that can be efficiently built by only one person. Our experiments demonstrate that MaWi, with a fingerprint database as scarce as one data sample at each spot, outperforms the state-of-the-art proposals working on a richer fingerprint database.
  • Keywords
    indoor radio; magnetic fields; radionavigation; smart phones; wireless LAN; MaWi; Wi-Fi system; ambient magnetic field; complementary localization techniques; human labor reduction; hybrid magnetic system; low quality fingerprint databases; smart phone based scalable indoor localization system; war-driving avoidance; Accuracy; Buildings; Databases; Educational institutions; Fingerprint recognition; IEEE 802.11 Standards; Smart phones; Indoor Localization; Mobile Sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Processing in Sensor Networks, IPSN-14 Proceedings of the 13th International Symposium on
  • Conference_Location
    Berlin
  • Print_ISBN
    978-1-4799-3146-0
  • Type

    conf

  • DOI
    10.1109/IPSN.2014.6846760
  • Filename
    6846760