• DocumentCode
    2198110
  • Title

    An optimal power conservation cluster based routing algorithm using Fuzzy Verdict Mechanism for Wireless Sensor Networks

  • Author

    Daniel, Ravuri ; Rao, Kuda Nageswara

  • Author_Institution
    Department of Information Technology, Vignan´s Institute of Information Technology, Jawaharlal Nehru Technological University-Kakinada, Visakhapatnam, India
  • fYear
    2015
  • fDate
    24-25 Jan. 2015
  • Firstpage
    1
  • Lastpage
    9
  • Abstract
    Wireless Sensor Networks have found thousands of applications duo to new era of technologies like Internet of Things and Cloud to simplify the management of complex problems. Energy conservation in wireless sensor nodes is important concern to most of its applications. Duo to inherent issue of power limitation of sensor nodes, enhancing the specified network life time is the prime requirement. Therefore, an efficient routing protocol is needed to construct any real time applications of wireless sensor networks. The proposed, Fuzzy Verdict Mechanism Cluster Protocol (FVMCP) is used to construct knowledge based system effectively for the eligibility of the sensor node to be elected as a Cluster Header(CH). The eligibility of CH nodes based on their respective sensor nodes has important characteristics like duty cycle, energy level, geographical position, and number of hops. The simulation of FVMCP algorithm carried out in Mat Lab which shows enhancement of the performance accuracy up to 17 to 21 % in compassion with hard clustering methods.
  • Keywords
    Algorithm design and analysis; Clustering algorithms; Fuzzy logic; Iron; Routing; Routing protocols; Wireless sensor networks; Clustering; Fuzzy Logic; Fuzzy Verdict Mechanism; Power Conservation; Routing Algorithm; Wireless Sensor Network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical, Electronics, Signals, Communication and Optimization (EESCO), 2015 International Conference on
  • Conference_Location
    Visakhapatnam, India
  • Print_ISBN
    978-1-4799-7676-8
  • Type

    conf

  • DOI
    10.1109/EESCO.2015.7253959
  • Filename
    7253959