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LoRaWAN: Lost for Localization?

delete2022-12-01
delete17
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OA
AI
E
Ekaterina Svertoka
A
Alexandru Rusu-Casandra
R
Radim Bürget
I
Ion Marghescu
J
Jiří Hošek
A
Aleksandr Ometov *
DOI:10.1109/JSEN.2022.3212319delete
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摘要

摘要

En 中文
Nowadays, the flexible localization solution for various devices for workplace 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 Internet-of-Things (IoT) devices. Existing leading localization technologies are adapted for certain conditions, for example, Wi-Fi, Bluetooth low energy (BLE), and ultra-wideband (UWB) are used for indoor areas and various global navigation satellite system (GNSS)-based ones for outdoors. This work focuses on investigating the long-range wide-area network (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 IoT (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 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 the University Politechnica of Bucharest (UPB), Bucharest, Romania. The campaigns cover both indoor and outdoor scenarios and provide the practical limitations of the positioning in standalone and ${k}$ -nearest neighbors ( ${k}$ -NN) powered localization systems. According to the results, LoRaWAN-based localization with relatively dense gateways (GWs) deployment allows for achieving a meter-level accuracy, which may be suitable for the localization of workers.
Keyword:
Industrial Internet of Things (IIoT)
Industry 40
Internet of Things (IoT)
localization
long-range wide-area network (LoRaWAN)
measurement error
position measurement
wearables

期刊

IEEE Sensors Journal 封面图
IEEE Sensors Journal
IF:
4.5
论文数:
2.2W
被引数:
7.3W

机构

T
Tampere University
学者数:
1.4W
论文数: 1.3W
被引数: 1.4W
B
Brno University of Technology
学者数:
5.7K
论文数: 4.7K
被引数: 5.7K
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