• DocumentCode
    651618
  • Title

    Energy-Efficient Clustering in IEEE 802.15.4 Wireless Sensor Networks

  • Author

    Tavakoli, Hamidreza ; Miic, Jelena ; Naderi, Majid ; Miic, Vojislav B.

  • Author_Institution
    Dept. of Electr. Eng., Iran Univ. of Sci. & Technol., Tehran, Iran
  • fYear
    2013
  • fDate
    8-11 July 2013
  • Firstpage
    262
  • Lastpage
    267
  • Abstract
    In this paper we discuss about our new clustering algorithm (ALEC) by modeling the CH and non CH nodes during set-up and steady-state phases of the algorithm. We investigate the effects of event sensing reliability and number of clusters on the network lifetime. We also analyze the power consumption and delay overheads of the clustering algorithm. According to the results, energy consumption overhead and delay overhead of ALEC algorithm in worst cases are very low (overhead of power consumption is about 0.06% and overhead of delay is about 0.001%.). The results also show that longer network lifetime can be achieved by both lower values of number of clusters and sensing reliability.
  • Keywords
    Zigbee; computer network reliability; energy conservation; pattern clustering; wireless sensor networks; ALEC algorithm; CH node; IEEE 802.15.4 wireless sensor network; delay overhead analysis; energy consumption overhead; energy-efficient clustering algorithm; nonCH node; power consumption analysis; reliability; set-up phase algorithm; steady-state phase algorithm; Clustering algorithms; Delays; Energy consumption; IEEE 802.15 Standards; Reliability; Sensors; Steady-state; Adaptive Low-Energy Clustering; IEEE 802.15.4; cluster-headel ection; clustering overhead; network lifetime; sensing reliability; wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Distributed Computing Systems Workshops (ICDCSW), 2013 IEEE 33rd International Conference on
  • Conference_Location
    Philadelphia, PA
  • Print_ISBN
    978-1-4799-3247-4
  • Type

    conf

  • DOI
    10.1109/ICDCSW.2013.17
  • Filename
    6679898