LoRaWAN: Lost for Localization?

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dc.contributor.authorSvertoka, Ekaterinacs
dc.contributor.authorRusu-Casandra, Alexandrucs
dc.contributor.authorBurget, Radimcs
dc.contributor.authorMarghescu, Ioncs
dc.contributor.authorHošek, Jiřícs
dc.contributor.authorOmetov, Aleksandrcs
dc.coverage.issue23cs
dc.coverage.volume22cs
dc.date.issued2022-10-11cs
dc.description.abstractNowadays, 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.en
dc.formattextcs
dc.format.extent23307-23319cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationIEEE SENSORS JOURNAL. 2022, vol. 22, issue 23, p. 23307-23319.en
dc.identifier.doi10.1109/JSEN.2022.3212319cs
dc.identifier.issn1558-1748cs
dc.identifier.orcid0000-0003-1849-5390cs
dc.identifier.orcid0000-0002-8382-9185cs
dc.identifier.other179523cs
dc.identifier.researcheridB-1780-2010cs
dc.identifier.scopus23011250200cs
dc.identifier.scopus37031030200cs
dc.identifier.urihttp://hdl.handle.net/11012/208670
dc.language.isoencs
dc.publisherIEEEcs
dc.relation.ispartofIEEE SENSORS JOURNALcs
dc.relation.urihttps://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9916126cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/1558-1748/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectInternet of Thingsen
dc.subjectposition measurementen
dc.subjecterror analysisen
dc.subjectmeasurement erroren
dc.subjectindustrial IoTen
dc.subjectlocalizationen
dc.subjectLoRaWANen
dc.subjectwearablesen
dc.subjectindustry 4.0en
dc.titleLoRaWAN: Lost for Localization?en
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-179523en
sync.item.dbtypeVAVen
sync.item.insts2025.02.03 15:42:29en
sync.item.modts2025.01.17 18:42:14en
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav telekomunikacícs
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