• DocumentCode
    1829334
  • Title

    Spectrum aware interference modelling in large-scale smart metering networks

  • Author

    Beer, Frederik ; Lieske, Hendrik ; Heuberger, Albert ; Kilian, Gerd ; Petkov, Hristo

  • Author_Institution
    Dept. of Inf. Technol., Univ. of Erlangen-Nuremberg, Erlangen, Germany
  • fYear
    2012
  • fDate
    3-4 Dec. 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    An approach for a more realistic simulation of wireless smart metering networks in smart grid applications is presented in this work. Conventional network simulations usually ignore spectral properties of transmission signals. Thus, adjacent channel interference is ignored, which may lead to unreliable packet loss rate estimations. To overcome this drawback, we introduce a general method to model modulation schemes in a network simulation. The proposed solution is examined in an OMNeT++ simulation with two exemplary spectrum models, which differ in their levels of detail. The simulations were conducted for varying channel spacings and load situations for a smart metering network with up to 12,000 radio units. The results show that the use of a detailed spectrum model should be favoured. Since our approach improves adjacent channel interference modelling, it is an important component for more reliable results when evaluating communication protocols in network simulations.
  • Keywords
    cochannel interference; smart meters; smart power grids; wireless sensor networks; OMNeT++ simulation; adjacent channel interference modelling; communication protocols; large scale smart metering network; network simulation; packet loss rate estimation; smart grid; spectrum aware interference modelling; wireless smart metering network; Channel spacing; Interchannel interference; Load modeling; Packet loss; Wireless sensor networks; Adjacent channel interference; MiXiM; OMNeT++; SNIR; frequency dependent rejection; large-scale network; network simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Smart Grid Technology, Economics and Policies (SG-TEP), 2012 International Conference on
  • Conference_Location
    Nuremberg
  • Print_ISBN
    978-1-4673-5930-6
  • Type

    conf

  • DOI
    10.1109/SG-TEP.2012.6642388
  • Filename
    6642388