• DocumentCode
    484970
  • Title

    A Rapid Acquisition Algorithm of WSN-aided GPS Location in Pervasive Computing

  • Author

    Deng, Zhongliang ; Xu, Lianming ; Ren, Weizheng ; Wang, Hui

  • Author_Institution
    Sch. of Electron. Eng., Beijing Univ. of Posts & Telecommun., Beijing
  • Volume
    1
  • fYear
    2008
  • fDate
    6-8 Oct. 2008
  • Firstpage
    485
  • Lastpage
    490
  • Abstract
    Traditional global positioning system (GPS) is not suitable for indoor location environments. A wireless sensor network (WSN)-aided GPS location algorithm is put forward in this paper in order to realize seamless connection between indoor and outdoor locations and shorten search and acquisition time of GPS signal. The algorithm utilizes auxiliary location information obtained from GPS reference station by the WSN to determine the range of satellites available and realize the rapid acquisition of GPS signal. Simulation results show that GPS signal acquisition time is significantly decreased compared with that based on the traditional GPS.
  • Keywords
    Global Positioning System; signal detection; telecommunication computing; ubiquitous computing; wireless sensor networks; WSN-aided GPS Location; global positioning system; pervasive computing; rapid acquisition algorithm; signal acquisition; wireless sensor network; Broadband antennas; Global Positioning System; Hardware; Pervasive computing; Radio navigation; Satellite broadcasting; Satellite navigation systems; Spread spectrum communication; Uncertainty; Wireless sensor networks; Auxiliary Location Information; GPS Reference Station Network; Pervasive Computing; Seamless Location; Wireless Sensor Network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing and Applications, 2008. ICPCA 2008. Third International Conference on
  • Conference_Location
    Alexandria
  • Print_ISBN
    978-1-4244-2020-9
  • Electronic_ISBN
    978-1-4244-2021-6
  • Type

    conf

  • DOI
    10.1109/ICPCA.2008.4783637
  • Filename
    4783637