• DocumentCode
    691806
  • Title

    AENS: Accurate and Efficient Mobile Phone Indoor Navigation System without WiFi

  • Author

    Zhiyuan Xu ; Ruijin Wang ; Fan Li ; Yaodong Huang

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2013
  • fDate
    21-22 Dec. 2013
  • Firstpage
    25
  • Lastpage
    30
  • Abstract
    As the indoor location-based services are widely used in daily life, we all call for precise localization and low energy consumption application. Besides, getting location information in a short response time remains a problem in indoor navigation. In this paper, we present an accurate and efficient indoor navigation system called AENS, which only needs available sensors in off-the-shelf smartphones such as accelerometer and gyroscope, completely avoid using energy hungry WiFi module. Combined with simple local map information, AENS is able to guide user to find destinations. The System utilizes those sensors to do Dead-Reckoning dynamically and in real-time, then fitting the predicted trajectories to the map information. We evaluate the system in our university library. The result shows that AENS successfully guides the tester to the specified destination, and for every critical node the average localization error is within one-meter.
  • Keywords
    indoor radio; mobile radio; radionavigation; smart phones; AENS; accelerometer; average localization error; dead-reckoning; energy hungry WiFi module; gyroscope; indoor location-based services; local map information; location information; mobile phone indoor navigation system; off-the-shelf smartphones; Accelerometers; Gyroscopes; IEEE 802.11 Standards; Mobile handsets; Navigation; Sensors; Trajectory; Indoor navigation; dead-reckoning; mobile phone; wifi-free;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Dependable, Autonomic and Secure Computing (DASC), 2013 IEEE 11th International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4799-3380-8
  • Type

    conf

  • DOI
    10.1109/DASC.2013.33
  • Filename
    6844333