• DocumentCode
    3576849
  • Title

    Accuracy Assessment of D-Model for Modeling Wall Attenuation in Indoor Environment

  • Author

    Latif, Shiraz ; Memon, Aftab ; Chawdhry, Bhawani ; Zielinski, Ryszard ; Khan, Ghazanfarullah

  • Author_Institution
    Usman Inst. of Technol., Karachi Mehran Univ. of Eng. & Technol., Jamshoro, Pakistan
  • fYear
    2014
  • Firstpage
    71
  • Lastpage
    76
  • Abstract
    Indoor radio signal propagation is always an interesting field to explore, especially after the introduction of Location based services, the charm of indoor localization gets more attraction of researchers and hence the work for better radio signal strength maps got accelerated that causes the development of different indoor propagation models. Most indoor localization techniques are based on fingerprinting, that requires time consuming and tedious work of site-survey for database generation. This site survey can be avoided by using an efficient indoor propagation model. Different indoor propagation models have their own performance considerations, some are more accurate but also require more computational requirements whereas the simpler ones are less accurate. In this paper we assess the accuracy of D-model that is a newly introduced indoor propagation model and then we compared its accuracy with earlier empirical models. We developed FAMWiFi for RSS collection, MATLAB for analysis and ArcGIS for signal strength map generation.
  • Keywords
    indoor radio; radionavigation; wireless LAN; ArcGIS; D-model accuracy assessment; FAMWiFi; Matlab; RSS collection; empirical models; indoor environment; indoor localization techniques; indoor propagation models; indoor radio signal propagation; radio signal strength map generation; wall attenuation modeling; Accuracy; Attenuation; Computational modeling; Indoor environments; Mathematical model; Radio transmitters; Receivers; Accuracy assesment; D-model; Wall attenuation; indoor radio wave propagation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence, Communication Systems and Networks (CICSyN), 2014 Sixth International Conference on
  • Print_ISBN
    978-1-4799-5075-1
  • Type

    conf

  • DOI
    10.1109/CICSyN.2014.28
  • Filename
    7059147