• DocumentCode
    3529869
  • Title

    Clustering Algorithms in MANETs: A Review

  • Author

    Alinci, Mirjeta ; Spaho, Evjola ; Lala, Algenti ; Kolici, Vladi

  • Author_Institution
    Dept. of Electron. & Telecommun., Polytech. Univ. of Tirana, Tirana, Albania
  • fYear
    2015
  • fDate
    8-10 July 2015
  • Firstpage
    330
  • Lastpage
    335
  • Abstract
    A Mobile Ad hoc Network (MANET) is a multihop wireless network in which the mobile nodes are dynamic in nature and has a limited bandwidth and minimum battery power. Due to this challenging environment the mobile nodes can be grouped into clusters to achieve better stability and scalability. Grouping the mobile nodes is called clustering, in which a leader node is elected to manage the entire network. In this paper, we consider the various approaches for clustering focus on different performance metrics. Each cluster contain a particular node called cluster head which is elected as cluster head according to the specific metric or combination of metrics such as mobility, energy, degree, weight etc. In this survey paper, we study some clustering schemes such as Mobility-based clustering, Energy-efficient clustering, Connectivity-based clustering, Weighted-based clustering and discuss their advantages and disadvantages.
  • Keywords
    mobile ad hoc networks; mobility management (mobile radio); pattern clustering; MANET; cluster head; clustering focus; clustering schemes; connectivity-based clustering; energy-efficient clustering; mobile ad hoc network; mobile nodes; mobility-based clustering; multihop wireless network; weighted-based clustering; Ad hoc networks; Algorithm design and analysis; Clustering algorithms; Heuristic algorithms; Measurement; Mobile computing; Prediction algorithms; Algorithms; Cluster head; Clustering; MANET;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Complex, Intelligent, and Software Intensive Systems (CISIS), 2015 Ninth International Conference on
  • Conference_Location
    Blumenau
  • Print_ISBN
    978-1-4799-8869-3
  • Type

    conf

  • DOI
    10.1109/CISIS.2015.47
  • Filename
    7185207