• DocumentCode
    2718465
  • Title

    Power efficient clustering algorithm

  • Author

    Al-Hamadi, Hasan ; Safar, Maytham ; Ebrahimi, Dariush

  • Author_Institution
    Inf. Tech. Dept., Nat. Pet. Co., Kuwait
  • fYear
    2009
  • fDate
    1-4 Nov. 2009
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    A wireless sensor network (WSN) is a form of network that consists of randomly distributed devices/nodes in a known space. In this kind of environment there are two major concerns that governs the efficiency, availability and functionality of the network, namely power consumption and fault tolerance. This paper introduces a new algorithm that is Power Efficient Cluster Algorithm (PECA). The main focus of the proposed algorithm is to reduce the power consumption required to setup the network since it is the stage where power is used the most. This is achieved by reducing the total number of radio transmission required for the network setup. As a fault tolerance approach the algorithm stores some information about each node for easier recovery of the network should any node fails in the network. The proposed algorithm is compared with Self Organizing Sensor (SOS) algorithm; the result shows that PECA consume significantly less power than SOS.
  • Keywords
    pattern clustering; wireless sensor networks; fault tolerance; power efficient clustering algorithm; radio transmission; self organizing sensor algorithm; wireless sensor network; Availability; Batteries; Clustering algorithms; Data communication; Defense industry; Energy consumption; Fault tolerance; Organizing; Petroleum; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Information Management, 2009. ICDIM 2009. Fourth International Conference on
  • Conference_Location
    Ann Arbor, MI
  • Print_ISBN
    978-1-4244-4253-9
  • Electronic_ISBN
    978-1-4244-4254-6
  • Type

    conf

  • DOI
    10.1109/ICDIM.2009.5356796
  • Filename
    5356796