• DocumentCode
    2147638
  • Title

    Energy-Efficient Cluster Head Selection in Clustering Routing for Wireless Sensor Networks

  • Author

    Hu, Yu ; Shen, Xiaorui ; Kang, Zhenhua

  • Author_Institution
    Meas. & Controlling Technol. Inst., Taiyuan Univ. of Technol., Taiyuan, China
  • fYear
    2009
  • fDate
    24-26 Sept. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A primary criterion of designing wireless sensor networks is energy efficiency. Focused on the energy problem of routing protocol in wireless sensor networks, we must mention to the clustering routing protocol. LEACH is one of the first clustering routing algorithms for sensor networks, and it is able to increase the network lifetime. However, it selects a cluster head based on random probability model and doesn´t consider the distribution and the remaining energy of sensor nodes. This paper proposes eNergy-Efficient Cluster Head Selection (NECHS) mechanism base on fuzzy logic in clustering routing. By using fuzzy logic technique, appropriate cluster head is selected based on two factors: neighbor nodes and remaining energy. Simulation results show that the NECHS protocol achieves about 0.09 to 26.8% improvement when the rounds of first dead, tenth dead, half dead and all dead compared to the LEACH protocol.
  • Keywords
    fuzzy logic; pattern clustering; routing protocols; wireless sensor networks; LEACH protocol; clustering routing; energy-efficient cluster head selection; fuzzy logic; neighbor nodes; random probability model; remaining energy; routing protocol; sensor nodes; wireless sensor networks; Base stations; Clustering algorithms; Computer networks; Educational institutions; Energy efficiency; Fuzzy logic; Routing protocols; Sensor systems; Software; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3692-7
  • Electronic_ISBN
    978-1-4244-3693-4
  • Type

    conf

  • DOI
    10.1109/WICOM.2009.5303808
  • Filename
    5303808