• DocumentCode
    3705160
  • Title

    Where@UM - Dependable organic radio maps

  • Author

    Adriano Moreira;Filipe Meneses

  • Author_Institution
    Algoritmi Research Centre, University of Minho, Portugal
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    9
  • Abstract
    In the past decade, the research community has been dedicating considerable effort into indoor positioning systems based on Wi-Fi fingerprinting techniques, mainly due to their capability to exploit existing infrastructures. Crowdsourcing approaches, also known as organic, have been proposed recently to address the problem of creating and maintaining the corresponding radio maps. In these organic systems, the users of the system build the radio map themselves while using it to estimate their own position/location. However, most of these collaborative methods, proposed by several authors, assume that all the users are honest and committed to contribute to a good quality radio map. In this paper we assess the quality of a radio map built collaboratively and propose a method to classify the credibility of individual contributions and the reputation of individual users. Experimental results are presented for an organic indoor location system that has been used by more than one hundred users over a period of around 12 months.
  • Keywords
    "Fingerprint recognition","Collaboration","IEEE 802.11 Standard","Floors","Crowdsourcing","Servers"
  • Publisher
    ieee
  • Conference_Titel
    Indoor Positioning and Indoor Navigation (IPIN), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/IPIN.2015.7346751
  • Filename
    7346751