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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