• DocumentCode
    1643970
  • Title

    Network adaptive round-time clustering algorithm for wireless sensor networks

  • Author

    Pal, V. ; Singh, Gagan ; Yadav, R.P.

  • Author_Institution
    Electron. & Commun. Eng. Dept., Malaviya Nat. Inst. of Technol., Jaipur, India
  • fYear
    2013
  • Firstpage
    1299
  • Lastpage
    1302
  • Abstract
    In recent time, wireless sensor networks are gaining popularity among research persons. Wireless sensor networks are energy constraint networks because sensor nodes carry limited energy. Energy efficiency is the prime design issue for wireless sensor networks. Clustering algorithms increase performance of network with reduction in energy consumption of nodes. Clustering operation is performed in rounds to load balance the network. Duration of round-time is decisive for performance of clustering algorithms. Most of existing clustering algorithms have fixed round-time and do not consider network dynamics. In this paper, network adaptive variable round-time solution is presented. In proposed solution, round-time is calculated according to number of nodes alive in the network. Simulation results show that the proposed solution increases the network lifetime and data units received at base station.
  • Keywords
    pattern clustering; wireless sensor networks; base station; clustering operation; data units; energy constraint networks; energy consumption; energy efficiency; load balance; network adaptive round time clustering algorithm; network adaptive variable round time solution; network dynamics; network lifetime; prime design issue; sensor nodes; wireless sensor networks; Ad hoc networks; Base stations; Clustering algorithms; Heuristic algorithms; Network topology; Wireless communication; Wireless sensor networks; Clustering; Energy Efficiency; Round-time; Wireless Sensor Network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Computing, Communications and Informatics (ICACCI), 2013 International Conference on
  • Conference_Location
    Mysore
  • Print_ISBN
    978-1-4799-2432-5
  • Type

    conf

  • DOI
    10.1109/ICACCI.2013.6637365
  • Filename
    6637365