• DocumentCode
    144350
  • Title

    Clustering Based Energy Efficient Algorithm Using Max-Heap Tree for MANET

  • Author

    Saxena, Manoj ; Phate, Neelam ; Mathai, K.J. ; Rizvi, M.A.

  • Author_Institution
    Dept. of CEA, NITTTR Bhopal, Bhopal, India
  • fYear
    2014
  • fDate
    7-9 April 2014
  • Firstpage
    123
  • Lastpage
    127
  • Abstract
    Mobile Ad hoc Network (MANET) is a self-configuring network of mobile nodes connected by wireless links. Each device in a MANET is dynamic and can move in any direction, and will therefore change its links to other nodes frequently. Energy efficiency and routing are the main obstacles in the growth of this network. In this paper an attempt is made to develop an energy aware algorithm based on clustering for longer life of MANET. In this approach network is divided into small and self manageable groups for improving the network lifetime. The proposed algorithm would be an energy efficient clustering algorithm that uses both scalability and energy metric for cluster layout. Max-heap is used for selection of cluster head. The Clusters are designed using max-heap on the basis of energy level, the node which has the highest energy in the cluster will act as a cluster head.
  • Keywords
    energy conservation; mobile ad hoc networks; mobility management (mobile radio); pattern clustering; radio links; telecommunication network reliability; MANET; clustering based energy efficient algorithm; energy aware algorithm; max-heap tree; mobile ad hoc network; network lifetime improvement; wireless link; Algorithm design and analysis; Clustering algorithms; Energy states; Mobile ad hoc networks; Mobile computing; Routing; Cluster-Head (CH); Max-heap; Mobile Ad-hoc Network (MANET); Multi Point Relay (MPR); Optimized link state routing (OLSR);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Systems and Network Technologies (CSNT), 2014 Fourth International Conference on
  • Conference_Location
    Bhopal
  • Print_ISBN
    978-1-4799-3069-2
  • Type

    conf

  • DOI
    10.1109/CSNT.2014.33
  • Filename
    6821370