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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

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

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název statě ve sborníku

Computational Collective Intelligence

ISBN

978-3-319-67076-8

ISSN

0302-9743

e-ISSN

neuvedeno

Počet stran výsledku

10

Strana od-do

305-314

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

Nicosia

Datum konání akce

27. 9. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—