• DocumentCode
    2330205
  • Title

    Position-based, Energy-efficient, centralised clustering protocol for wireless sensor networks

  • Author

    Lu, Lifang ; Lim, Cheng-Chew

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Univ. of Adelaide, Adelaide, SA, Australia
  • fYear
    2009
  • fDate
    25-27 May 2009
  • Firstpage
    139
  • Lastpage
    144
  • Abstract
    We propose a position-based, energy-efficient, and centralised clustering protocol for wireless sensor networks. The protocol aims at prolonging the network lifetime by evenly distributing energy load among sensor nodes in the network. A new cluster head selection algorithm is developed in the proposed protocol. In addition, the protocol uses a novel multi-hop routing approach for inter-cluster communication between cluster heads and the base station. The performance of the proposed protocol is evaluated and compared with three existing clustering-based protocols. Simulation results show that the proposed protocol achieves better energy efficiency and longer network lifetime.
  • Keywords
    routing protocols; telecommunication network reliability; wireless sensor networks; cluster head selection algorithm; energy efficiency; inter-cluster communication; multihop routing approach; network lifetime; position-based centralised clustering protocol; wireless sensor network; Base stations; Biosensors; Clustering algorithms; Energy efficiency; Magnetic heads; Power engineering and energy; Routing protocols; Spread spectrum communication; Wireless application protocol; Wireless sensor networks; Sensor networks; centralised clustering; energy-efficient; multi-hop routing; network lifetime;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4244-2799-4
  • Electronic_ISBN
    978-1-4244-2800-7
  • Type

    conf

  • DOI
    10.1109/ICIEA.2009.5138185
  • Filename
    5138185