• DocumentCode
    1816449
  • Title

    Visualization of the Constrained Coverage of Mobile Sensor Networks Based on GML

  • Author

    Lee, Chang-Wu ; Kim, Sung-Won ; Lee, Heon-Jong ; Han, Youn-Hee ; Park, Doo-Soon ; Jeong, Young-Sik

  • Author_Institution
    Dept. of Comput. Eng., Wonkwang Univ., Iksan, South Korea
  • Volume
    2
  • fYear
    2009
  • fDate
    29-31 Aug. 2009
  • Firstpage
    603
  • Lastpage
    608
  • Abstract
    Mobile sensor nodes should be well deployed so that they maximize the area coverage with the constraint that each node has at least K neighbours, where is a user-specified parameter. The MSNS (mobile sensor node simulator) designed in this paper visualizes the real map objects created by a GML, and the movement of each sensor node which autonomously extends the constrained coverage introduced by. We explain how each sensor node avoids obstacles in our simulator, while extending the rate of the constrained coverage. And then, we describe the design of MSNS and simulation results. From a user, MSNS takes two parameters: the number of mobile sensor nodes deployed and the constraint parameter K. It calculates and shows the coverage rate and the average number of neighbour nodes in a real-time manner.
  • Keywords
    XML; cartography; data visualisation; mobile radio; telecommunication computing; wireless sensor networks; GML document; MSNS design; constrained area coverage visualization; mobile sensor node simulator; obstacle avoidance; real map object; user-specified parameter; wireless sensor network; Computational modeling; Computer networks; Computer science; Computer science education; Educational technology; IP networks; Mobile communication; Mobile computing; Scattering; Visualization; Connectivity; Coverage; GML; Mobile Sensor Network; USN; WSN;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Engineering, 2009. CSE '09. International Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    978-1-4244-5334-4
  • Electronic_ISBN
    978-0-7695-3823-5
  • Type

    conf

  • DOI
    10.1109/CSE.2009.111
  • Filename
    5283881