Abstract
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.
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Acknowledgements
The authors of this paper would like to thank Tereza Krizova for proofreading. This work was supported by the SPEV project, financed from the Faculty of Informatics and Management, University of Hradec Kralove.
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Maly, F., Kriz, P., Jedlicka, M. (2016). Room-Level Indoor Localization Based on Wi-Fi Signals. In: Nguyen, N., Iliadis, L., Manolopoulos, Y., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2016. Lecture Notes in Computer Science(), vol 9876. Springer, Cham. https://doi.org/10.1007/978-3-319-45246-3_20
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DOI: https://doi.org/10.1007/978-3-319-45246-3_20
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