• DocumentCode
    2098443
  • Title

    The Deployment Method and Movement Control Strategy in Mobile Wireless Sensor Networks

  • Author

    Xiao, Chuyu ; Peng, Yali ; Yu, Min

  • Author_Institution
    Dept. of Inf. & Eng., Jiangxi Normal Univ., Nanchang, China
  • Volume
    2
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    520
  • Lastpage
    523
  • Abstract
    In the fields of deployments in wireless sensor networks, the method of stationary sensor nodes deployed in the area has already been done extensively. However, in a multilayer wireless sensor network, the deployment and movement control strategy for mobile nodes was done little. To guarantee the reliability of the data transmission, this paper proposes a virtual grid partition deployment method, and implements the parallel particle swarm optimization (PPSO) algorithm for the mobile nodes movement control strategy. The simulation results show that the movement control strategy can not only raise the coverage rate of network, but also effectively solve the defects of instable communication and the low utilization ratio of the neighbor nodes caused by the random movement mobile nodes.
  • Keywords
    mobile radio; particle swarm optimisation; telecommunication control; telecommunication network reliability; wireless sensor networks; data transmission reliability; multilayer mobile wireless sensor network; network coverage rate; parallel particle swarm optimization algorithm; random movement mobile node control strategy; virtual grid partition deployment method; Communication system control; Computer networks; Data communication; Intelligent sensors; Mobile communication; Mobile computing; Monitoring; Particle swarm optimization; Partitioning algorithms; Wireless sensor networks; Wireless sensor network; deployment optimization; multi-layer mobile network; parallel particle swarm optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Computational Technology, 2008. ISCSCT '08. International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3746-7
  • Type

    conf

  • DOI
    10.1109/ISCSCT.2008.315
  • Filename
    4731678