• DocumentCode
    695643
  • Title

    Residual energy-aware collaborative transmission beamforming in wireless sensor networks

  • Author

    Nsenga, J. ; Dawans, S. ; Ramon, V. ; Bourdoux, A. ; Horlin, F.

  • Author_Institution
    CETIC, Gosselies, Belgium
  • fYear
    2011
  • fDate
    Aug. 29 2011-Sept. 2 2011
  • Firstpage
    1180
  • Lastpage
    1184
  • Abstract
    Energy-Efficient transmission techniques are very important for extending the lifetime of a wireless sensor network (WSN) given that recharging batteries of a large number of WSN nodes is a very difficult and expensive operation. Collaborative transmission beamforming (CTB) saves energy consumed by each node by distributing between different WSN nodes the required total power transmission to get a desired bit error rate (BER) at the receiver. Moreover, by coherently combining the different signals transmitted by the WSN nodes, CTB increases the signal strength in the direction of the receiver, therefore decreases the total power transmission of the WSN. In this paper, we propose a new CTB technique that minimizes the total power transmission of the WSN while balancing the residual energy in different nodes. By solving this multi-objective optimization problem, we show that the WSN lifetime can be improved up to 30 % compared to the basic CTB algorithm, which aims at minimizing the total power transmission without taking into account the residual energy.
  • Keywords
    array signal processing; error statistics; optimisation; radio receivers; telecommunication network reliability; wireless sensor networks; BER; CTB technique; WSN; bit error rate; energy-efficient transmission technique; multiobjective optimization problem; network lifetime; power transmission; residual energy-aware collaborative transmission beamforming; wireless sensor network; Array signal processing; Bit error rate; Linear programming; Optimization; Power transmission; Wireless communication; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference, 2011 19th European
  • Conference_Location
    Barcelona
  • ISSN
    2076-1465
  • Type

    conf

  • Filename
    7074193