• DocumentCode
    2041979
  • Title

    Effect of Mutual Coupling on the Energy Requirement of MIMO-Based Wireless Sensor Networks

  • Author

    Abbosh, Amin M. ; Thiel, David V.

  • Author_Institution
    Sch. of ITEE, Univ. of Queensland, Brisbane, QLD, Australia
  • fYear
    2007
  • fDate
    24-27 Nov. 2007
  • Firstpage
    436
  • Lastpage
    439
  • Abstract
    A theoretical model was developed to estimate effect of the mutual coupling on the energy requirement of a multiple-input multiple-output (MIMO) based wireless sensor network (WSN). Clustered channel modeling with Rician fading distribution is assumed to include the effect of the line-of-sight (LOS) ray paths. The effect of propagation environments is included in the analysis by assuming a two-slope path loss model. The effect of knowing the channel state information (CSI) in the MIMO system (MIMO csi) is also included in the analysis. It is shown that the presence of mutual coupling between elements of MIMO array decreases the energy required by the MIMO based WSN. Simulation results also show that it is possible to use a compact circular antenna array with a quarter wavelength diameter to build a MIMO csi based WSN that requires almost constant energy for applications that cover a range from few meters up to around 100 m.
  • Keywords
    MIMO communication; Rician channels; antenna arrays; wireless sensor networks; MIMO-based wireless sensor network; Rician fading distribution; WSN; channel state information; circular antenna array; clustered channel modeling; multiple-input multiple-output system; mutual coupling effect; propagation effect; two-slope path loss model; Antenna arrays; Antennas and propagation; Covariance matrix; MIMO; Mutual coupling; Power system modeling; Rician channels; Sensor phenomena and characterization; Symmetric matrices; Wireless sensor networks; Energy efficiency; multiple-input multiple-output (MIMO); wireless sensors networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications, 2007. ICSPC 2007. IEEE International Conference on
  • Conference_Location
    Dubai
  • Print_ISBN
    978-1-4244-1235-8
  • Electronic_ISBN
    978-1-4244-1236-5
  • Type

    conf

  • DOI
    10.1109/ICSPC.2007.4728349
  • Filename
    4728349