• DocumentCode
    1929024
  • Title

    Adaptive cluster-based approach for reducing routing overheads in MANETs

  • Author

    Er, Inn Inn ; Seah, Winston K G

  • Author_Institution
    Lion Nathan, Sydney, NSW, Australia
  • fYear
    2010
  • fDate
    Oct. 31 2010-Nov. 3 2010
  • Firstpage
    279
  • Lastpage
    284
  • Abstract
    Despite the substantial work done on Mobile Ad Hoc Networks (MANETs), the scalability of routing protocols remains a limiting factor in large-scale deployments. An inherent problem lies in the route discovery mechanism of routing protocols, most of which rely on some form of flooding to search for routes and disseminate topology information. Clustering has been identified as one of the approaches to improve routing protocols´ scalability and can prove to be useful provided the additional overheads incurred by the clustering management do not negate the gains in the reduction of routing overheads. In this paper, we present an extension of a typical MANET routing protocol that integrates an adaptive clustering mechanism and show that it is able to significantly reduce the communications overheads of routing protocols, thus paving the way for greater scalability.
  • Keywords
    mobile ad hoc networks; pattern clustering; routing protocols; telecommunication network management; telecommunication network reliability; telecommunication network topology; MANET routing protocol; adaptive cluster-based approach; adaptive clustering mechanism; clustering management; communication overheads; mobile ad hoc networks; route discovery mechanism; routing overhead reduction; routing protocol scalability; Australia; Bismuth; Logic gates; MANET; clustering; routing overheads;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (APCC), 2010 16th Asia-Pacific Conference on
  • Conference_Location
    Auckland
  • Print_ISBN
    978-1-4244-8128-6
  • Electronic_ISBN
    978-1-4244-8127-9
  • Type

    conf

  • DOI
    10.1109/APCC.2010.5679780
  • Filename
    5679780