Indoor Positioning System based on Fuzzy Logic and WLAN Infrastructure

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F20%3A00342077" target="_blank" >RIV/68407700:21230/20:00342077 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.3390/s20164490" target="_blank" >https://doi.org/10.3390/s20164490</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/s20164490" target="_blank" >10.3390/s20164490</a>

Result language
angličtina
Original language name
Indoor Positioning System based on Fuzzy Logic and WLAN Infrastructure
Original language description
This paper deals with the issue of mobile device localization in the environment of buildings, which is suitable for use in healthcare or crisis management. The developed localization system is based on wireless Local Area Network (LAN) infrastructure (commonly referred to as Wi-Fi), evaluating signal strength from different access points, using the fingerprinting method for localization. The most serious problems consist in multipath signal propagation and the different sensitivities (calibration) of Wi-Fi adapters installed in different mobile devices. To solve these issues, an algorithm based on fuzzy logic is proposed to optimize the localization performance. The localization system consists of five elements, which are mobile applications for Android OS, a fuzzy derivation model, and a web surveillance environment for displaying the localization results. All of these elements use a database and shared storage on a virtualized server running Ubuntu. The developed system is implemented in Java for Android-based mobile devices and successfully tested. The average accuracy is satisfactory for determining the position of a client device on the level of rooms.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20202 - Communication engineering and systems

Project
<a href="/en/project/LTE117005" target="_blank" >LTE117005: Auto-ID technology and the Internet of Things to enhance the quality of health services</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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