• DocumentCode
    2077683
  • Title

    Coverage Optimization in Wireless Mobile Sensor Networks

  • Author

    Bai, Xingzhen ; Li, Shu ; Jiang, ChangJun ; Gao, Zhengzhong

  • Author_Institution
    Electron. & Inf. Eng. Sch., Tongji Univ., Shanghai, China
  • fYear
    2009
  • fDate
    24-26 Sept. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The coverage of wireless sensor networks (WSNs) is one of the most important measurement criteria of QoS. Optimal coverage of sensors is propitious to the maximum possible utilization of the available sensors. It can balance node energy consumption, and elongate network lifetime. In this paper, particle swarm optimization (PSO) approach is applied to maximize the coverage of mobile sensor networks. We first analyze the node distribution of random deployed sensor networks. There are big coverage holes as the network size grows. In order to reduce energy consumption during node move process, we study the sensor network coverage optimization in the limited mobility model. The simulation results show that sensor node move in the limited region can also realize the coverage optimization , and it can reduce the moving distance greatly.
  • Keywords
    mobile radio; particle swarm optimisation; quality of service; wireless sensor networks; QoS; coverage optimization; limited mobility model; node distribution; node energy consumption; node move process; particle swarm optimization; random deployed sensor networks; wireless mobile sensor networks; Base stations; Educational institutions; Energy consumption; Mobile computing; Network topology; Particle swarm optimization; Remote monitoring; Sensor systems; Surveillance; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3692-7
  • Electronic_ISBN
    978-1-4244-3693-4
  • Type

    conf

  • DOI
    10.1109/WICOM.2009.5301207
  • Filename
    5301207