• DocumentCode
    3307028
  • Title

    Energy Balancing Clustering Algorithm for Wireless Sensor Network

  • Author

    Li, Lan-ying ; Jiang, Xiu-li ; Zhong, Sheng-hai ; Hu, Lei

  • Author_Institution
    Dept. of Comput. Sci., Harbin Univ. of Sci. & Technol., Harbin
  • Volume
    1
  • fYear
    2009
  • fDate
    25-26 April 2009
  • Firstpage
    61
  • Lastpage
    64
  • Abstract
    At present, several algorithms have been proposed to extend the network lifetime for Wireless Sensor Network (WSN). However, these algorithms did not achieve the desired results in balancing the energy consumption among the nodes. To deal with this problem, an Energy Balancing Clustering Algorithm (EBCA) is proposed in this paper. The algorithm divides the whole WSN into balanced grids, where cluster heads are elected, so cluster heads can uniformly be distributed in the network. In EBCA, uneven clustering strategy is used to solve ldquohot zonerdquo problem. EBCA employs simple energy-efficient routing algorithm to establish the routing backbone network. At the same time, the dynamic change threshold of nodes energy is utilized for getting adequate energy nodes as cluster heads. The simulation results show that EBCA effectively balances the energy consumption among nodes and achieves an improvement on the network lifetime.
  • Keywords
    pattern clustering; telecommunication network reliability; telecommunication network routing; wireless sensor networks; backbone network routing; balanced grid; dynamic change threshold; energy balancing clustering algorithm; energy consumption; energy-efficient routing algorithm; wireless sensor network lifetime; Aerospace industry; Base stations; Clustering algorithms; Computer science; Computer security; Energy consumption; Nominations and elections; Routing; Wireless communication; Wireless sensor networks; Wireless sensor network; clustering; energy efficient; routing algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networks Security, Wireless Communications and Trusted Computing, 2009. NSWCTC '09. International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-1-4244-4223-2
  • Type

    conf

  • DOI
    10.1109/NSWCTC.2009.97
  • Filename
    4908214