• DocumentCode
    2042014
  • Title

    Energy Efficient Wireless Sensor Networks

  • Author

    Abbosh, Amin M. ; Thiel, David V.

  • Author_Institution
    Sch. of ITEE, Univ. of Queensland, QLD, Australia
  • fYear
    2007
  • fDate
    24-27 Nov. 2007
  • Firstpage
    440
  • Lastpage
    443
  • Abstract
    A theoretical model is presented to estimate the energy requirements of multiple-input multiple-output (MIMO) systems when used in wireless sensor networks (WSN) assuming clustered channel modeling, with Rician distribution and cochannel interference. The effect of different propagation environments is simulated. Simulation results show that the single-input single-output (SISO) can only be useful with short range systems (less than 20 m). The MIMO system with channel state information has the best performance for applications that require a range more than 20 m and under different propagation conditions. The results presented in this paper indicate that increasing the number of antennas for MIMO systems has a negative effect on the performance under free space propagation, whereas it has a positive effect, especially for MIMO with channel state information (CSI), under "severe" conditions.
  • Keywords
    MIMO communication; antenna arrays; cochannel interference; wireless sensor networks; MIMO systems; Rician distribution; channel state information; cochannel interference; energy efficiency; free space propagation; multiple-input multiple-output systems; propagation environments; short range systems; single-input single-output system; wireless sensor networks; Circuit simulation; Covariance matrix; Energy efficiency; Interchannel interference; MIMO; Monitoring; Power system modeling; Rician channels; Sensor arrays; 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.2007.4728350
  • Filename
    4728350