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Room-Level Indoor Localization Based on Wi-Fi Signals

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F16%3A50004779" target="_blank" >RIV/62690094:18450/16:50004779 - isvavai.cz</a>

  • Result on the web

    <a href="http://link.springer.com/chapter/10.1007/978-3-319-45246-3_20/fulltext.html" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-319-45246-3_20/fulltext.html</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-45246-3_20" target="_blank" >10.1007/978-3-319-45246-3_20</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Room-Level Indoor Localization Based on Wi-Fi Signals

  • Original language description

    This paper deals with the indoor localization using Wi-Fi networks. It reacts to the increasing trend in smart devices containing a large number of sensors and modules. The work deals with the use of a Wi-Fi module and a camera. The Android application which uses these modules for the localization and acquisition of fingerprints of wireless networks was created. The application consists of a client and a server side. The approach suggested enables a mobile device to be localized in a building for which a database with fingerprints of wireless networks is created. The application suggested can be used for every building provided that the following conditions are fulfilled; QR codes or other unique visual tags are distributed, the map of the building is available and the fingerprints of wireless networks are captured.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Computational Collective Intelligence

  • ISBN

    978-3-319-45245-6

  • ISSN

    0302-9743

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    209-218

  • Publisher name

    Springer

  • Place of publication

    Heidelberg

  • Event location

    Halkidiki, Greece

  • Event date

    Sep 28, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article