• DocumentCode
    2798748
  • Title

    Modeling the Communication Problem in Wireless Sensor Networks as a Vertex Cover

  • Author

    Safar, Maytham ; Taha, Mohammad ; Habib, Sami

  • Author_Institution
    Kuwait Univ., Safat
  • fYear
    2007
  • fDate
    13-16 May 2007
  • Firstpage
    592
  • Lastpage
    598
  • Abstract
    The communication problem is to select a minimal set of placed sensor devices in a service area so that the entire service area is accessible by the minimal set of sensors. Finding the minimal set of sensors is modeled as a vertex cover problem, where the vertex cover set facilitates the communications between the sensors in a multi-hop fashion keeping in mind the limited communication range and battery lifespan of all sensors. The vertex cover set is a subset of the coverage set of sensors; therefore, we transform the search space from continuous into discrete space. We encoded the vertex cover problem into the evolutionary domain, where the objective function is to select a minimal set of sensors out of the coverage sensors to act as a vertex cover so that the communication range of the vertex cover set covers the entire service area. The experimental results demonstrate the feasibility of our evolutionary approach in finding minimal vertex cover set; which is less than 16% of total sensors used as communication sensors; in under 5 minutes seconds with 91% coverage of the sensor nodes in wireless sensor network.
  • Keywords
    evolutionary computation; wireless sensor networks; communication problem; evolutionary approach; vertex cover problems; wireless sensor networks; Batteries; Computer networks; Discrete transforms; Integrated circuit modeling; Intelligent networks; Monitoring; Printed circuits; Spread spectrum communication; Wire; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Systems and Applications, 2007. AICCSA '07. IEEE/ACS International Conference on
  • Conference_Location
    Amman
  • Print_ISBN
    1-4244-1030-4
  • Electronic_ISBN
    1-4244-1031-2
  • Type

    conf

  • DOI
    10.1109/AICCSA.2007.370690
  • Filename
    4231018