• DocumentCode
    257236
  • Title

    An efficient outdoor localization method for smartphones

  • Author

    Anhua Lin ; Jianzhong Zhang ; Kai Lu ; Wen Zhang

  • Author_Institution
    Coll. of Comput. & Control Eng., Nankai Univ., Tianjin, China
  • fYear
    2014
  • fDate
    4-7 Aug. 2014
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Location has become a key service for smartphone applications. With the help of inertial navigation unit integrated into smartphones, such as accelerometer and compass, we can provide reliable and accurate localization service, which overcomes huge energy consumption of GPS and rough location accuracy of systems based on GSM or Wi-Fi. In this paper, we present a reliable and energy-efficient localization system using inertial sensors commonly found on today´s smartphone. Reliable algorithms for displacement determination and heading direction have been developed. Then Vincenty´s formulae are employed to calculate the latitude and longitude of the endpoint. In order to prevent accumulated error, location correction mechanism based on local map information and A-GPS is introduced. Measurements on Samsung I9100 and evaluation in the real condition confirm anticipated benefits. Results show that ACMG uses 24.7% less power consumption than GPS, and get a mean location accuracy of less than 6.7m in our test.
  • Keywords
    Global Positioning System; inertial navigation; power consumption; smart phones; telecommunication network reliability; telecommunication power management; A-GPS; ACMG; GPS; Samsung I9100; Vincenty formulae; Wi-Fi; accelerometer; compass; displacement determination; efficient outdoor localization method; endpoint latitude; endpoint longitude; energy consumption; heading direction; inertial navigation unit; inertial sensors; local map information; location correction mechanism; mean location accuracy; rough location accuracy; smartphone applications; Acceleration; Accuracy; Compass; Global Positioning System; Reliability; Sensors; Smart phones; corner signature; heading direction; map tiles; outdoor localization; pedometer; step detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Communication and Networks (ICCCN), 2014 23rd International Conference on
  • Conference_Location
    Shanghai
  • Type

    conf

  • DOI
    10.1109/ICCCN.2014.6911788
  • Filename
    6911788