• DocumentCode
    1869449
  • Title

    Deterministic cluster head selection for wireless sensor networks

  • Author

    Azim, A. ; Islam, Md Minarul

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
  • fYear
    2012
  • fDate
    April 29 2012-May 2 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The applications and adoption of wireless sensor networks (WSNs) in social and environmental purposes are increasing because of monitoring different infrastructures such as military, scientific, environmental, and domestic infrastructures. Low energy adaptive clustering hierarchy (LEACH) and its variants use some intermediate nodes, known as cluster heads, for relaying the communications made between the sensor nodes and the base station. These schemes, however, lack of a deterministic cluster head selection technique to form a certain number of required clusters. In this paper, we propose a deterministic cluster head selection technique to select expected number of clusters. Simulations justify the mathematical modeling of such a cluster head selection scheme which can be applied directly in realistic systems.
  • Keywords
    wireless sensor networks; communication relaying; deterministic cluster head selection; domestic infrastructure; environmental infrastructure; environmental purpose; infrastructure monitoring; intermediate node; low energy adaptive clustering hierarchy; mathematical modeling; military infrastructure; scientific infrastructure; wireless sensor network; Base stations; Conferences; Energy consumption; Equations; Mathematical model; Protocols; Wireless sensor networks; LEACH; cluster head selection; energy dependent probability; number of clusters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical & Computer Engineering (CCECE), 2012 25th IEEE Canadian Conference on
  • Conference_Location
    Montreal, QC
  • ISSN
    0840-7789
  • Print_ISBN
    978-1-4673-1431-2
  • Electronic_ISBN
    0840-7789
  • Type

    conf

  • DOI
    10.1109/CCECE.2012.6334972
  • Filename
    6334972