• DocumentCode
    2433134
  • Title

    Evaluation of Random Node Shutdown in wireless sensor network for improving energy efficiency

  • Author

    Husni, Hasnorhafiza ; Enzai, Nur Idawati Md ; Rais, Nurul Ashikin Mohd ; Jusoh, Zulzilawati

  • Author_Institution
    Fac. of Electr. Eng., Univ. Teknol. MARA (UiTM) Terengganu, Dungun, Malaysia
  • fYear
    2012
  • fDate
    7-8 April 2012
  • Firstpage
    64
  • Lastpage
    69
  • Abstract
    Rapid advances in wireless communication technology recently have led to the development of sensor nodes to form wireless sensor network (WSN). However, these nodes have limited battery power and due to the nature of this technology which enables communication between nodes which can be deployed anywhere including hard-accessed area, thus it is not feasible to recharge or replace the batteries. Therefore power consumption of each sensor node should be minimized so that overall network lifetime will be increased. In order to minimize power consumption, some nodes which can be considered redundant, can be put to shutdown mode. In this paper, a shutdown technique is being proposed. The technique is Random Node Shutdown. In this technique, nodes are randomly shutdown according to the criteria and conditions defined. This technique is examined and simulated using the NS2 simulation environment to find the best scenario for the proposed algorithm.
  • Keywords
    wireless sensor networks; NS2 simulation; WSN; energy efficiency; hard-accessed area; limited battery power; network lifetime; power consumption; random node shutdown evaluation; sensor nodes; wireless communication technology; wireless sensor network; Batteries; Data communication; Energy efficiency; Energy states; Power demand; Throughput; Wireless sensor networks; Wireless Sensor Network; energy efficiency; node shutdown; power cycle;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business Engineering and Industrial Applications Colloquium (BEIAC), 2012 IEEE
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4673-0425-2
  • Type

    conf

  • DOI
    10.1109/BEIAC.2012.6226107
  • Filename
    6226107