• DocumentCode
    2833560
  • Title

    Researching on Optimal Distribution of Mobile Nodes in Wireless Sensor Networks being Deployed Randomly

  • Author

    Song, Ping ; Li, Jize ; Li, Kejie ; Sui, Li

  • Author_Institution
    Beijing Inst. of Technol., Beijing
  • fYear
    2008
  • fDate
    Aug. 29 2008-Sept. 2 2008
  • Firstpage
    322
  • Lastpage
    326
  • Abstract
    To improve the quality of service (QoS) in sensing coverage, wireless sensor networks (WSN) composed of immobile nodes and mobile nodes should optimize the distribution of mobile nodes after their random deployment. According to the pre-research work we know that the node density is closely relevant to QoS in sensing coverage when the nodes are randomly deployed in the target region. In this paper the target region is divided into different parts being not overlapped with the others, a modified particle swarm optimization (PSO) is proposed to optimize the node density of different parts according to the expectation of QoS in the parts and the virtual force between the nodes is proposed to adjust the position of mobile nodes. It is suggested by the simulated experiment results that the method proposed to optimize the mobile nodes in this paper can improve the QoS in sensing coverage.
  • Keywords
    mobile radio; particle swarm optimisation; quality of service; random processes; wireless sensor networks; QoS; mobile node random deployment; modified particle swarm optimization; node sensing coverage; optimal mobile node distribution; quality of service; wireless sensor network; Ad hoc networks; Computer science; Information technology; Mobile communication; Mobile computing; Optimization methods; Particle swarm optimization; Quality of service; Transceivers; Wireless sensor networks; Mobile node; Optimal distribution; Wireless sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology, 2008. ICCSIT '08. International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-0-7695-3308-7
  • Type

    conf

  • DOI
    10.1109/ICCSIT.2008.49
  • Filename
    4624884