• DocumentCode
    2564787
  • Title

    The research of movement control policy based on limitary Voronoi partition in tiered mobile sensor network

  • Author

    Xia-ling, Zeng ; Peng Ya-li ; Xiong Li-giong ; Min, Yu

  • Author_Institution
    Dept. of Comput. S&T, Jiangxi Normal Univ., Nanchang
  • fYear
    2008
  • fDate
    2-4 July 2008
  • Firstpage
    3251
  • Lastpage
    3255
  • Abstract
    Combing the future developing direction of network, we advance a new tiered mobile sensor network. Based on this new network, movement control policy of data collecting node-sink, and problems of instability of network and high-fraction of event loss caused by the tiered mobility of S(sensor node) and sink node are researched. We propose adopting mobile sink nodes to produce limitary Voronoi partition, respectively controlling each sink node´s movement control policy. Then combine area partition with collect-blind calculating algorithm to design each sink node´s optimal mobile route. From the simulation, it obviously indicate that it can obtain higher network coverage rate and lower event loss rate, only need a small quantity of sink nodes. The proposed movement control policy of sink nodes provides a good solution to the problems of instable communication and high-fraction of event loss on tiered mobile sensor network.
  • Keywords
    ad hoc networks; computational geometry; mobile radio; telecommunication congestion control; telecommunication network routing; data collecting node-sink; event loss rate; limitary Voronoi partition; movement control policy; optimal mobile route; tiered mobile sensor network; Algorithm design and analysis; Communication system control; Discrete event simulation; Mobile communication; Partitioning algorithms; Collect-Blind Calculating Algorithm; Limitary Voronoi Partition; Mobile Sensor Network; Movement Control Policy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2008. CCDC 2008. Chinese
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-1733-9
  • Electronic_ISBN
    978-1-4244-1734-6
  • Type

    conf

  • DOI
    10.1109/CCDC.2008.4597930
  • Filename
    4597930