• DocumentCode
    1906323
  • Title

    Energy-Efficient Clustering/Routing for Cooperative MIMO Operation in Sensor Networks

  • Author

    Siam, Mohammad Z. ; Krunz, Marwan ; Younis, Ossama

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Arizona, Tucson, AZ
  • fYear
    2009
  • fDate
    19-25 April 2009
  • Firstpage
    621
  • Lastpage
    629
  • Abstract
    Employing multi-input multi-output (MIMO) links can improve energy efficiency in wireless sensor networks (WSNs). Although a sensor node is likely to be equipped with only one antenna, it is possible to group several sensors to form a virtual MIMO link. Such grouping can be formed by means of clustering. In this paper, we propose a distributed MIMO-adaptive energy-efficient clustering/routing scheme, coined cooperative MIMO (CMIMO), which aims at reducing energy consumption in multi- hop WSNs. In CMIMO, each cluster has up to two cluster heads (CHs), which are responsible for routing traffic between clusters (i.e., inter-cluster communications). CMIMO has the ability to adapt the transmission mode and transmission power on a per-packet basis. The transmission mode can be one of four transmit/receive configurations: 1 times 1 (SISO), 2 times 1 (MISO), 1 times 2 (SIMO), and 2 times 2 (MIMO). We study the performance of CMIMO via simulations. Results indicate that our proposed scheme achieves a significant reduction in energy consumption, compared to non-adaptive clustered WSNs.
  • Keywords
    MIMO communication; telecommunication network routing; wireless sensor networks; cooperative MIMO operation; energy consumption; energy-efficient clustering/routing; multi-input multi-output links; sensor networks; wireless sensor networks; Bit error rate; Circuits; Diversity methods; Energy consumption; Energy efficiency; Fading; MIMO; Routing; Spread spectrum communication; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    INFOCOM 2009, IEEE
  • Conference_Location
    Rio de Janeiro
  • ISSN
    0743-166X
  • Print_ISBN
    978-1-4244-3512-8
  • Electronic_ISBN
    0743-166X
  • Type

    conf

  • DOI
    10.1109/INFCOM.2009.5061969
  • Filename
    5061969