• DocumentCode
    263772
  • Title

    Energy-Efficient Multi-hop Hierarchical Routing Protocol using Fuzzy Logic (EMHR-FL) for Wireless Sensor Networks

  • Author

    Amri, Saber ; Kaddachi, Med Lassaad ; Trad, Abdelbasset

  • Author_Institution
    Inst. Super. d´Inf. et de Gestion de Kairouan 3100, Univ. de Kairouan, Kairouan, Tunisia
  • fYear
    2014
  • fDate
    17-19 Jan. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper, we present and evaluate a Multi-hop Hierarchical Routing Protocol using Fuzzy Logic (EMHR-FL) for Wireless Sensor Networks (WSN). The proposed protocol uses Fuzzy Logic Inference System (FIS) to select next hop CH (cluster-Head) by taking in to consideration some related metrics ( battery level of CHs, distance between CHs and node density of CHs) in order to maximize the total number of packets transmitted to BS (Base Station). The interest of our solution is twofold. First, it improves performance of classic EMHR in terms of total number of packets received by BS and time of First Node Die (FND). Second, our method makes a better decision of next hop CH selection than classical EMHR. We discuss in depth the system model of the proposed protocol which is planned to reach high performance. Simulation results and relevant performance comparisons with classical protocols are presented.
  • Keywords
    fuzzy logic; fuzzy reasoning; pattern clustering; routing protocols; wireless sensor networks; EMHR-FL; FIS; FND; WSN; base station; energy-efficienct multihop hierarchical routing protocol; first node die; fuzzy logic inference system; next hop CH selection; next hop cluster-head; wireless sensor networks; Energy consumption; Energy efficiency; Fuzzy logic; Routing protocols; Spread spectrum communication; Wireless sensor networks; EMHR; EMHR-FL; Fuzzy Logic; Wireless Sensor Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Applications and Information Systems (WCCAIS), 2014 World Congress on
  • Conference_Location
    Hammamet
  • Print_ISBN
    978-1-4799-3350-1
  • Type

    conf

  • DOI
    10.1109/WCCAIS.2014.6916567
  • Filename
    6916567