• DocumentCode
    2492747
  • Title

    Node selection for sidelobe control in collaborative beamforming for wireless sensor networks

  • Author

    Ahmed, Mohammed F A ; Vorobyov, Sergiy A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Alberta, Edmonton, AB, Canada
  • fYear
    2009
  • fDate
    21-24 June 2009
  • Firstpage
    519
  • Lastpage
    523
  • Abstract
    Collaborative beamforming (CB) is a new technique for energy-efficient long-distance communications in wireless sensor networks (WSNs). It is based on the fact that the distributed nodes of a WSN can synchronize their carrier phases to form a beampattern with a stable mainlobe (independent on the node locations). However, sidelobes of such beampattern are found to be severely dependent on the particular node locations. High level sidelobes can cause unacceptable interference to unintended base stations and access points (BSs/APs). Therefore, controlling the sidelobes of CB has the potential to increase the network capacity and wireless channel availability. In this paper, we propose node selection for CB sidelobe control. A selection algorithm with low implementation complexity is developed to search over different node combinations. It aims at minimizing the interference at unintended BSs/APs. The performance of the proposed algorithm is analyzed in terms of the average number of trials and the achieved interference suppression. Simulation results match the analytical approximations and show the effectiveness of node selection for limiting the interference.
  • Keywords
    array signal processing; channel capacity; wireless channels; wireless sensor networks; collaborative beamforming; network capacity; node selection; sidelobe control; wireless channel; wireless sensor networks; Array signal processing; Availability; Channel capacity; Collaboration; Communication system control; Energy efficiency; Femtocell networks; Interference; Performance analysis; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Advances in Wireless Communications, 2009. SPAWC '09. IEEE 10th Workshop on
  • Conference_Location
    Perugia
  • Print_ISBN
    978-1-4244-3695-8
  • Electronic_ISBN
    978-1-4244-3696-5
  • Type

    conf

  • DOI
    10.1109/SPAWC.2009.5161839
  • Filename
    5161839