• DocumentCode
    2671154
  • Title

    An improved visual force algorithm for node deployment strategy in wireless sensor network

  • Author

    Bao, Xirong ; Yang, Ming ; Zhang, Xuefeng

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
  • fYear
    2012
  • fDate
    23-25 May 2012
  • Firstpage
    2216
  • Lastpage
    2219
  • Abstract
    The effectiveness of cluster-based distributed sensor networks depends to a large extent on the coverage provided by the sensor deployment. In this paper, an improved visual forces based sensor deployment algorithm, namely URE-VFA (Uncovered Region Exploration and Visual Force Algorithm), is proposed to enhance the coverage after an initial random deployment of sensors. The new algorithm decides a new location on not only the combination of attractive and repulsive forces but the uncovered region around sensors. Once the effective sensor positions are identified, a onetime movement with energy consideration incorporated is carried out, i.e., the sensors are redeployed to these positions. Compared with the performance of VFA, the new algorithm provides better coverage than that by VFA in less number of iterations with the same number of sensor nodes. Compared with that of UREA, new algorithm reduces the average mobile distance of nodes so as to save energy consumption. The simulation shows this algorithm provides better coverage than that by VFA, and it reduces power consumption.
  • Keywords
    iterative methods; power consumption; wireless sensor networks; URE-VFA; UREA; attractive forces; cluster-based distributed sensor networks; energy consumption; iterations; node deployment strategy; power consumption; repulsive forces; sensor deployment; uncovered region exploration-visual force algorithm; visual force algorithm; wireless sensor network; Clustering algorithms; Force; Mobile communication; Mobile computing; Robot sensing systems; Wireless sensor networks; Coverage; Deployment Algorithm; Mobility; WSNs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2012 24th Chinese
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4577-2073-4
  • Type

    conf

  • DOI
    10.1109/CCDC.2012.6244355
  • Filename
    6244355