• DocumentCode
    2986311
  • Title

    An Energy Efficient Routing Algorithm for Wireless Sensor Networks

  • Author

    Li Juan ; Wang Ke ; Lu Chang-Gang

  • Author_Institution
    Dept. of Commun. Eng., JiLin Univ., Changchun, China
  • fYear
    2009
  • fDate
    18-20 Jan. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Considering limited energy characteristic of wireless sensor networks, this paper propose an improved cluster head selection algorithm based on distributed stochastic LEACH routing protocol. This improved algorithm takes full account of the residual energy of node and the position information of the cluster-head, using the knowledge of probability theory and mathematical statistics, in a specific region calculating the cluster-head number that making energy consumption over the whole network is the less. Through the computer simulation, the new algorithm was compared with LEACH routing algorithm. Using the LEACH algorithm, nodes begin dying at 350 rounds; and using the improved algorithm, nodes begin dying until 730 rounds. The LEACH algorithm consumes 13 J through 350 rounds; the improved algorithm only consumes 5.8 J. Energy consumption is lower 53% than the LEACH algorithm in this period. It is obviously that the improved algorithm saves the node energy and prolongs the life-cycle of the entire network.
  • Keywords
    routing protocols; wireless sensor networks; LEACH routing protocol; cluster head selection; energy consumption; energy efficient routing algorithm; network life-cycle; wireless sensor networks; Ad hoc networks; Base stations; Clustering algorithms; Energy consumption; Energy efficiency; Intelligent sensors; Power engineering and energy; Routing protocols; Testing; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Network and Multimedia Technology, 2009. CNMT 2009. International Symposium on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5272-9
  • Type

    conf

  • DOI
    10.1109/CNMT.2009.5374531
  • Filename
    5374531