• DocumentCode
    2760272
  • Title

    An energy efficient algorithm for cluster-head selection in WSNs

  • Author

    Hajikhani, Mohammad Javad ; Abolhassani, Bahman

  • Author_Institution
    Sch. of Electr. Eng., Iran Univ. of Sci. & Technol., Tehran, Iran
  • fYear
    2010
  • fDate
    4-6 Dec. 2010
  • Firstpage
    397
  • Lastpage
    400
  • Abstract
    In Wireless Sensor Networks (WSNs), recharging node batteries may be inconvenient or impossible. There are several different approaches to overcome this problem. LEACH (Low-Energy Adaptive Clustering Hierarchy) is a well known algorithm whose best advantage is that each node makes its decision about whether to be a cluster-head independently, but it cannot guarantee an even energy load distribution. To over come this problem, we should consider the remaining energy of each node and the average residual energy of its neighboring nodes. However, this makes the nodes to be dependent on each other. For this reason, in this paper, we propose an energy efficient cluster-head selection algorithm, which is an extension to the LEACH. Our new algorithm is based on the differentiation of each node´s energy. In the proposed algorithm, each node cares about its neighboring nodes, without getting any information from them. Simulation results show that our proposed algorithm could better balance the load and prolong the lifetime of the network by about 10% compared with LEACH.
  • Keywords
    energy conservation; load distribution; protocols; wireless sensor networks; cluster-head selection; energy efficient algorithm; low-energy adaptive clustering hierarchy; wireless sensor networks; Algorithm design and analysis; Base stations; Clustering algorithms; Load modeling; Mathematical model; Protocols; Wireless sensor networks; Cluster-Head Selection; Energy efficiency; LEACH; Sensor Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Telecommunications (IST), 2010 5th International Symposium on
  • Conference_Location
    Tehran
  • Print_ISBN
    978-1-4244-8183-5
  • Type

    conf

  • DOI
    10.1109/ISTEL.2010.5734059
  • Filename
    5734059