• DocumentCode
    649653
  • Title

    On-demand clustering mechanism for wireless sensor networks

  • Author

    Sanghyun Ahn ; Hwan Kim ; Joon-Sang Park ; Joon Yoo

  • Author_Institution
    Sch. of Comput. Sci., Univ. of Seoul, Seoul, South Korea
  • fYear
    2013
  • fDate
    14-16 Oct. 2013
  • Firstpage
    256
  • Lastpage
    261
  • Abstract
    Wireless sensor networks impose strict energy efficiency requirements since the sensor nodes tend to operate with non-rechargeable batteries. The cluster-based communication structure is an attractive solution for energy efficiency, because the cluster head (CH) node gathers the messages from the sensor nodes and transmits them to the sink node. However, the CH selection is challenging due to the distributed nature of sensor networks. In this paper, we propose an energy-efficient clustering mechanism that effectively conducts the CH selection. Our proposal introduces three key contributions. First, the CH is selected on-demand, i.e., only when the residual energy is reduced by some level. Second, each sensor node maintains multiple residual energy levels in order to allow fair CH selection and gradual energy consumption. Finally, the CH node may conduct multi-hop communication to the sink to save energy. These three innovations are combined to provide an energy efficient clustering mechanism for sensor networks. Through extensive Qualnet simulations, we show that our scheme prolongs the network lifetime compared to the previous work.
  • Keywords
    energy conservation; wireless sensor networks; CH selection; cluster head node; cluster-based communication structure; energy efficiency; energy-efficient clustering mechanism; gradual energy consumption; multihop communication; network lifetime; on-demand clustering mechanism; sensor nodes; sink node; strict energy efficiency requirements; wireless sensor networks; Cluster head re-election; Clustering; Energy level; Wireless sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    ICT Convergence (ICTC), 2013 International Conference on
  • Conference_Location
    Jeju
  • Type

    conf

  • DOI
    10.1109/ICTC.2013.6675353
  • Filename
    6675353