• DocumentCode
    138362
  • Title

    Incremental Wi-Fi scanning for energy-efficient localization

  • Author

    Brouwers, Niels ; Zuniga, Marco ; Langendoen, Koen

  • Author_Institution
    Embedded Software Group, Delft Univ. of Technol., Delft, Netherlands
  • fYear
    2014
  • fDate
    24-28 March 2014
  • Firstpage
    156
  • Lastpage
    162
  • Abstract
    Wi-Fi based localization has proven to be a compelling alternative to GPS for mobile devices. But Wi-Fi scanning consumes a large amount of energy on smartphones because they perform full scans, i.e. all the channels in their band(s) are visited. This inefficient behavior greatly reduces battery life, raising the threshold for user acceptance. We propose a novel, incremental approach that reduces the energy consumption of Wi-Fi localization by scanning just a few selected channels. We evaluate our incremental scanning approach on eight Android devices using traces from five test subjects. Our results show that, compared to full scans, incremental scanning can reduce the energy consumption between 20.64% and 57.79%. The modern smartphones included in our study all show an energy reduction of at least 40%.
  • Keywords
    energy consumption; smart phones; wireless LAN; Android devices; GPS; energy consumption; energy efficient localization; full scans; incremental Wi-Fi scanning; incremental scanning; mobile devices; smart phones; user acceptance; Accelerometers; Accuracy; Conferences; Energy consumption; Global Positioning System; IEEE 802.11 Standards; Smart phones;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing and Communications (PerCom), 2014 IEEE International Conference on
  • Conference_Location
    Budapest
  • Type

    conf

  • DOI
    10.1109/PerCom.2014.6813956
  • Filename
    6813956