• DocumentCode
    2057009
  • Title

    An Enhanced Vector-Based Update Algorithm for Network-Constrained Moving Clients

  • Author

    Wu, Wen ; Xu, Jian ; Xu, Ming ; Zheng, Ning

  • Author_Institution
    Comput. Sci. Dept., Hangzhou Dianzi Univ., HangZhou, China
  • fYear
    2011
  • fDate
    4-5 Aug. 2011
  • Firstpage
    152
  • Lastpage
    158
  • Abstract
    Location based services (LBS) is one of the fastest growing areas in recent years. Location update of mobile clients is fundamental in all types of LBS. But algorithms proposed in this field generally didn´t concern the restricted context of road network and caused some unnecessary update. This paper proposed a revised vector-based update algorithm which taking characteristics of road network into account. The improved approach adopts two-step correction to revise the predicted position of the moving clients. First, the erect correction is implemented. Second, horizontal correction is carried out based on the erect correction. The proposed algorithm is evaluated via the simulator and compared with the vector-based algorithm. Experimental results show our algorithm can significantly decrease the number of updates compared to barely vector-based strategy while having lower error, and is scalable and stable.
  • Keywords
    mobile computing; vectors; LBS; enhanced vector-based update algorithm; erect correction; horizontal correction; location based services; mobile clients; network-constrained moving clients; predicted position; revised vector-based update algorithm; road network; vector-based algorithm; Accuracy; Databases; Global Positioning System; Mobile communication; Prediction algorithms; Roads; Servers; erect correction; horizontal correction; location update; road network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Green Computing and Communications (GreenCom), 2011 IEEE/ACM International Conference on
  • Conference_Location
    Sichuan
  • Print_ISBN
    978-1-4577-1006-3
  • Electronic_ISBN
    978-0-7695-4466-3
  • Type

    conf

  • DOI
    10.1109/GreenCom.2011.34
  • Filename
    6061319