• DocumentCode
    2736166
  • Title

    A Location Algorithm Integrating GPS and WSN in Pervasive Computing

  • Author

    Xu, Lianming ; Deng, Zhongliang ; 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
    461
  • Lastpage
    466
  • Abstract
    An integrated location algorithm using satellite location and wireless sensor networks (WSN) is put forward to solve the issues of seamless location both indoors and outdoors in a pervasive computing environment in this paper. Pseudorange observation data of global positioning system (GPS) and distance observation data of WSN are utilized to carry out positioning. Simulation results show that comparing with traditional GPS location algorithm, adaptation range is increased and positioning with less than four satellites is realized using the algorithm; and comparing with WSN location algorithm, the algorithm has a higher precision.
  • Keywords
    Global Positioning System; mobility management (mobile radio); ubiquitous computing; wireless sensor networks; GPS; distance observation data; global positioning system; location algorithm; pervasive computing; pseudorange observation data; satellite location; wireless sensor networks; Artificial satellites; Communications technology; Computational modeling; Computer networks; Global Positioning System; Least squares methods; Pervasive computing; Sensor phenomena and characterization; Wireless communication; Wireless sensor networks; Data Integration; Pervasive Computing; Seamless Location; Weighted Least Squares; 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.2008.4783632
  • Filename
    4783632