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%2F61989100%3A27350%2F20%3A10245217" target="_blank" >RIV/61989100:27350/20:10245217 - isvavai.cz</a>

Result on the web

<a href="https://www.mdpi.com/1424-8220/20/16/4490" target="_blank" >https://www.mdpi.com/1424-8220/20/16/4490</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

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

21100 - Other engineering and technologies

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

Name of the periodical

Sensors

ISSN

1424-3210

e-ISSN

—

Volume of the periodical

20

Issue of the periodical within the volume

16

Country of publishing house

CH - SWITZERLAND

Number of pages

24

Pages from-to

1-24

UT code for WoS article

000567223000001

EID of the result in the Scopus database

2-s2.0-85089395684