LoRaWAN: Lost for Localization?
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F22%3APU145856" target="_blank" >RIV/00216305:26220/22:PU145856 - isvavai.cz</a>
Výsledek na webu
<a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9916126" target="_blank" >https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9916126</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/JSEN.2022.3212319" target="_blank" >10.1109/JSEN.2022.3212319</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
LoRaWAN: Lost for Localization?
Popis výsledku v původním jazyce
Nowadays, the flexible localization solution for various devices for work safety is one of the most demanding research questions. Notably, it is expected to provide an acceptable level of precision in different types of environments empowered by wearable technology and the Interent of Things (IoT) devices. Existing leading localization technologies are adapted for certain conditions, e.g., Wi-Fi, BLE, UWB are used for indoor areas and various GNSS-based ones for outdoor. This work focuses on investigating the LoRaWAN (868 MHz band) as a potential candidate to bridge this gap, being one of the most reliable and recognized communication technologies for the Industrial Internet of Things (IIoT). In the past, the research community had a lot of critics with respect to the applicability of LoRaWAN for localization, while the vision is facing a tremendous change over the past two years. The purpose of this work is to assess the feasibility of LoRaWAN as a localization solution for work safety applications in the industrial scenario from different angles. The work is based on two measurement campaigns conducted at the Brno University of Technology (BUT), Brno, Czech Republic, and University Politechnica in Bucharest (UPB), Bucharest, Romania. The campaigns cover both indoor and outdoor scenarios, provide the practical limitations of the positioning in standalone and k-NN powered localization systems. According to the results, LoRaWAN-based localization with relatively dense gateways deployment allows for achieving a meter-level accuracy, which may be suitable for the localization of workers.
Název v anglickém jazyce
LoRaWAN: Lost for Localization?
Popis výsledku anglicky
Nowadays, the flexible localization solution for various devices for work safety is one of the most demanding research questions. Notably, it is expected to provide an acceptable level of precision in different types of environments empowered by wearable technology and the Interent of Things (IoT) devices. Existing leading localization technologies are adapted for certain conditions, e.g., Wi-Fi, BLE, UWB are used for indoor areas and various GNSS-based ones for outdoor. This work focuses on investigating the LoRaWAN (868 MHz band) as a potential candidate to bridge this gap, being one of the most reliable and recognized communication technologies for the Industrial Internet of Things (IIoT). In the past, the research community had a lot of critics with respect to the applicability of LoRaWAN for localization, while the vision is facing a tremendous change over the past two years. The purpose of this work is to assess the feasibility of LoRaWAN as a localization solution for work safety applications in the industrial scenario from different angles. The work is based on two measurement campaigns conducted at the Brno University of Technology (BUT), Brno, Czech Republic, and University Politechnica in Bucharest (UPB), Bucharest, Romania. The campaigns cover both indoor and outdoor scenarios, provide the practical limitations of the positioning in standalone and k-NN powered localization systems. According to the results, LoRaWAN-based localization with relatively dense gateways deployment allows for achieving a meter-level accuracy, which may be suitable for the localization of workers.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
20202 - Communication engineering and systems
Návaznosti výsledku
Projekt
<a href="/cs/project/FW03010273" target="_blank" >FW03010273: Defektoskopie lakovaných dílů s pomocí automatické adaptace neuronových sítí</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2022
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
IEEE SENSORS JOURNAL
ISSN
1530-437X
e-ISSN
1558-1748
Svazek periodika
22
Číslo periodika v rámci svazku
23
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
14
Strana od-do
23307-23319
Kód UT WoS článku
000893571900102
EID výsledku v databázi Scopus
2-s2.0-85139873638