• DocumentCode
    2348001
  • Title

    Connectivity Issue in Wireless Sensor Networks by Using Depth-First Search and Genetic Algorithm

  • Author

    Sheramin, G.Y. ; Ebrahimian, Naser ; Navin, Ahmad Habibizad ; Mirnia, Mir Kamal

  • Author_Institution
    Islamic Azad Univ., Tabriz, Iran
  • fYear
    2010
  • fDate
    26-28 Nov. 2010
  • Firstpage
    377
  • Lastpage
    381
  • Abstract
    Sensing coverage and network connectivity are two of the most fundamental problems in wireless sensor networks. Finding an optimal node deployment strategy that would minimize cost, reduce computation and communication overhead, be resilient to node. In this paper, we consider wireless sensor networks satisfying the case that each node either monitors one target or is just for connection. We want to use the fewer nodes in connectivity. We aim this goal by using DFS and on - off operation, that due to less consuming energy.
  • Keywords
    genetic algorithms; tree searching; wireless sensor networks; communication overhead reduction; computation overhead reduction; depth-first search; genetic algorithm; network connectivity; optimal node deployment strategy; wireless sensor networks; Depth-first search; Genetic Algorithm; Lifetime; Low power; Wireless Sensor network; connectivity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Communication Networks (CICN), 2010 International Conference on
  • Conference_Location
    Bhopal
  • Print_ISBN
    978-1-4244-8653-3
  • Electronic_ISBN
    978-0-7695-4254-6
  • Type

    conf

  • DOI
    10.1109/CICN.2010.149
  • Filename
    5701998