• DocumentCode
    2117327
  • Title

    An Energy-Efficient Cooperative Node Selction Scheme in Wireless Sensor Networks

  • Author

    Zhang, Yu ; Cai, Yueming ; Yang, Wendong ; Xu, Yunyou

  • Author_Institution
    Inst. of Commun. Eng. PLAUST, Nanjing
  • fYear
    2009
  • fDate
    27-28 Feb. 2009
  • Firstpage
    232
  • Lastpage
    236
  • Abstract
    In this paper, we propose a novel cooperative node selection scheme in wireless sensor networks that operate in energy-constrained environment. This scheme can obtain higher energy efficiency than the traditional cooperative transmission, which only considers the residual energy of intra-cluster nodes or the channel condition. Our proposed scheme will combine the residual energy with the link quality between the cluster head node and the data fusion center. First, intra-cluster node will compare its residual energy with the predetermined energy threshold and determine whether it can assist in the transmission of the cluster headpsilas information to the data fusion center or not. Then cluster head will select one node as its cooperative node from those nodes which can aid the cluster head in transmission. Numerical and simulation results are presented to demonstrate the efficiency of the proposed scheme over some distance ranges.
  • Keywords
    numerical analysis; sensor fusion; wireless sensor networks; cluster head node; data fusion center; energy-constrained environment; energy-efficient cooperative node selction scheme; link quality; numerical results; residual energy; wireless sensor networks; Batteries; Delay; Energy consumption; Energy efficiency; MIMO; Mobile antennas; Mobile communication; Numerical simulation; Power engineering and energy; Wireless sensor networks; cooperative node selection; energy effiency; wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Software and Networks, 2009. ICCSN '09. International Conference on
  • Conference_Location
    Macau
  • Print_ISBN
    978-0-7695-3522-7
  • Type

    conf

  • DOI
    10.1109/ICCSN.2009.110
  • Filename
    5076846