• DocumentCode
    160351
  • Title

    Clustering process for maximizing lifetime using probabilistic logic in WSN

  • Author

    Prabhavathi, S. ; Subramanyam, A. ; Rao, A. Ananda

  • Author_Institution
    RYMEC Bellary, Bellary, India
  • fYear
    2014
  • fDate
    11-13 July 2014
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Energy attribute has always been the topic of concern in the area of wireless sensor network (WSN). Although, abundant research has been conducted for addressing the energy issues in WSN, but the majority of the techniques were explored with various flaws that couldn´t effectively address such issues. Hence, the proposed paper introduces a technique that performs a hierarchical clustering technique in order to enhance the total network lifetime of the sensor motes in the wireless transmission area. The technique applies non-deterministic approach and adopts intra-phase and inter-phase clustering. Every phase of the non-deterministic parameters enforces the optimal participation of the cluster members in the process of selection of cluster head. Finally, the simulation is performed in varied parameters and compared with the more standard LEACH protocol to find that the proposed technique highly enhances the network lifetime by 42%.
  • Keywords
    optimisation; pattern clustering; probabilistic logic; protocols; wireless sensor networks; WSN; clustering process; energy attribute; hierarchical clustering technique; interphase clustering; maximizing lifetime; network lifetime; probabilistic logic; sensor motes; standard LEACH protocol; wireless sensor network; wireless transmission area; Base stations; Clustering algorithms; Fuzzy logic; Nominations and elections; Probabilistic logic; Protocols; Wireless sensor networks; Clustering Technique; Energy Consumption; Network Lifetime; Probabilistic Logic; Wireless Sensor Network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Communication and Networking Technologies (ICCCNT), 2014 International Conference on
  • Conference_Location
    Hefei
  • Print_ISBN
    978-1-4799-2695-4
  • Type

    conf

  • DOI
    10.1109/ICCCNT.2014.6963034
  • Filename
    6963034