• DocumentCode
    3478623
  • Title

    Channel Modeling for Wireless Underground Sensor Networks

  • Author

    Xiaoya, Hu ; Chao, Gao ; Bingwen, Wang ; Wei, Xiong

  • Author_Institution
    Dept. of Control Sci. & Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2011
  • fDate
    18-22 July 2011
  • Firstpage
    249
  • Lastpage
    254
  • Abstract
    Wireless underground sensor networks (WUSNs) consist of wireless devices buried below the ground surface and aboveground sink devices, in which the communication medium is not only air but also soil. In this paper, improved channel models based on time-domain are developed to characterize underground-underground, underground-aboveground and aboveground-underground electromagnetic waves channels, which capture the effects of environment parameters such as soil composition and soil moisture, and system parameters such as the antenna gain, operating frequency, the sensor burial depth. The propagation characteristics are investigated through simulation results of path loss between two nodes. This work will accelerate the design and realization of WUSNs.
  • Keywords
    antennas; electromagnetic wave propagation; time-domain analysis; underground communication; wireless channels; wireless sensor networks; WUSN; aboveground-underground electromagnetic wave channel; antenna gain; channel modeling; operating frequency; path loss; sensor burial depth; soil composition; soil moisture; time-domain analysis; underground-aboveground electromagnetic wave channel; underground-underground electromagnetic wave channel; wireless underground sensor network; Channel models; Propagation losses; Receivers; Reflection; Soil; Time domain analysis; Wireless sensor networks; channel models; soil medium; time-domain; wireless underground sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Software and Applications Conference Workshops (COMPSACW), 2011 IEEE 35th Annual
  • Conference_Location
    Munich
  • Print_ISBN
    978-1-4577-0980-7
  • Electronic_ISBN
    978-0-7695-4459-5
  • Type

    conf

  • DOI
    10.1109/COMPSACW.2011.46
  • Filename
    6032246