• DocumentCode
    2036765
  • Title

    Path loss prediction using a modified 2D finite-difference time-domain approach for a below to above ground channel

  • Author

    Wu, Y. ; Lin, M. ; Wassell, I.J.

  • Author_Institution
    Comput. Lab., Univ. of Cambridge, Cambridge, UK
  • fYear
    2009
  • fDate
    14-18 Sept. 2009
  • Firstpage
    529
  • Lastpage
    532
  • Abstract
    To effectively deploy wireless sensor networks (WSNs) for monitoring and assessing the condition of local water distribution networks, a propagation Path Loss (PL) Model is required that describes the power loss versus distance relationship between a sensor node located below ground in a fire hydrant (FH) chamber and a wireless node located above ground. The general method is to build an empirical PL model based on the experimental results. However, with this approach, extensive field measurements considering different scenarios have to be carried out. This is both time consuming and site specific. On the other hand, constructing a full 3D electromagnetic (EM) model can be both complex and computational infeasible for a large scale problem. In this paper, based on the field measurement results, we present our modified 2D Finite-Difference Time-Domain (FDTD) PL simulation model for the FH scenario that addresses the highlighted problems.
  • Keywords
    finite difference time-domain analysis; water supply; wireless sensor networks; electromagnetic model; finite-difference time-domain approach; fire hydrant chamber; ground channel; local water distribution networks; path loss prediction; wireless sensor networks; Condition monitoring; Electromagnetic measurements; Electromagnetic modeling; Finite difference methods; Fires; Large-scale systems; Propagation losses; Sensor phenomena and characterization; Time domain analysis; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electromagnetics in Advanced Applications, 2009. ICEAA '09. International Conference on
  • Conference_Location
    Torino
  • Print_ISBN
    978-1-4244-3385-8
  • Electronic_ISBN
    978-1-4244-3386-5
  • Type

    conf

  • DOI
    10.1109/ICEAA.2009.5297378
  • Filename
    5297378