• DocumentCode
    1931853
  • Title

    Comparison of D-Model and Wall-Attenuation Model for Signal Strength Estimations in Indoor Environment

  • Author

    Latif, Saeed ; Ghazanfar, M. ; Memon, Atif ; Chowdhry, B.S. ; Ahmed, J.

  • Author_Institution
    Dept. of Electr. Eng., Hamdard Univ., Karachi, Pakistan
  • fYear
    2012
  • fDate
    25-27 Sept. 2012
  • Firstpage
    336
  • Lastpage
    340
  • Abstract
    Signal Strength estimation is important aspect for planning of wireless networks and for generating radio signal maps. There is a variety of approaches to estimate the signal strength in indoor environment that is broadly classified as empirical model based signal strength estimations and deterministic model based signal strength estimations. Empirical models are widely used models for the received signal strength mapping and estimations but they always have a problem of reduced accuracy. Wall attenuation models are considered to be the model widely used and the simplest models but it lacks the accuracy whereas D-model is a newly proposed model that is more précised but not fully mature model. This paper compares both these models in terms of accuracy of RSS estimations in indoor environment especially for obstacles like walls and floors.
  • Keywords
    indoor radio; radio networks; radiowave propagation; telecommunication network planning; D-model; RSS estimations; empirical model based signal strength estimations; indoor environment; radio signal maps; radio signal propagation; wall-attenuation model; wireless networks planning; Accuracy; Attenuation; Estimation; Floors; Propagation losses; Radio transmitters; Receivers; D-model; Indoor Localization; Radio Signal propagation; Received Signal Strength; signal Propagation inside a building; signal wall penetration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence, Modelling and Simulation (CIMSiM), 2012 Fourth International Conference on
  • Conference_Location
    Kuantan
  • ISSN
    2166-8531
  • Print_ISBN
    978-1-4673-3113-5
  • Type

    conf

  • DOI
    10.1109/CIMSim.2012.68
  • Filename
    6338100