Different Approaches to Indoor Localization Based on Bluetooth Low Energy Beacons and Wi-Fi

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F17%3A50013528" target="_blank" >RIV/62690094:18450/17:50013528 - isvavai.cz</a>

Result on the web

<a href="https://link.springer.com/chapter/10.1007%2F978-3-319-67077-5_29" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-319-67077-5_29</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-67077-5_29" target="_blank" >10.1007/978-3-319-67077-5_29</a>

Result language

angličtina

Original language name

Different Approaches to Indoor Localization Based on Bluetooth Low Energy Beacons and Wi-Fi

Original language description

Thanks to Global Navigation Satellite Systems, the position of a smartphone equipped with the particular receiver can be determined with an accuracy of a few meters outdoors, having a clear view of the sky. These systems, however, are not usable indoors, because there is no signal from satellites. Therefore, it is necessary to use other localization techniques indoors. This paper focuses on the use of Bluetooth Low Energy and Wi-Fi radio technologies. We have created a special mobile application for the Android operating system in order to evaluate these techniques. This application allows localization testing in a real environment within a building of a university campus. We compare multiple approaches based on K-Nearest Neighbors and Particle Filter algorithms that have been further modified. The combination of Low Energy Bluetooth and Wi-Fi appears to be a promising solution reaching the satisfying accuracy and minimal deployment costs.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2017

Confidentiality

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

Article name in the collection

Computational Collective Intelligence

ISBN

978-3-319-67076-8

ISSN

0302-9743

e-ISSN

neuvedeno

Number of pages

10

Pages from-to

305-314

Publisher name

Springer

Place of publication

Cham

Event location

Nicosia

Event date

Sep 27, 2017

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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