Repository logo
 
Publication

Map coverage of LoRaWAN signal’s employing GPS from mobile devices

dc.contributor.authorBrito, Thadeu
dc.contributor.authorMendes, João
dc.contributor.authorZorawski, Matheus
dc.contributor.authorAzevedo, Beatriz Flamia
dc.contributor.authorKhalifeh, Ala'
dc.contributor.authorFernandes, Florbela P.
dc.contributor.authorPereira, Ana I.
dc.contributor.authorLima, José
dc.contributor.authorCosta, Paulo Gomes da
dc.date.accessioned2023-02-28T10:54:03Z
dc.date.available2023-02-28T10:54:03Z
dc.date.issued2022
dc.description.abstractForests are remote areas with uneven terrain, so it is costly to map the range of signals that enable the implementation of systems based on wireless and long-distance communication. Even so, the interest in Internet of Things (IoT) functionalities for forest monitoring systems has increasingly attracted the attention of several researchers. This work demonstrates the development of a platform that uses the GPS technology of mobile devices to map the signals of a LoRaWAN Gateway. Therefore, the proposed system is based on concatenating two messages to optimize the LoRaWAN transmission using the Global Position System (GPS) data from a mobile device. With the proposed approach, it is possible to guarantee the data transmission when finding the ideal places to fix nodes regarding the coverage of LoRaWAN because the Gateway bandwidth will not be fulfilled. The tests indicate that different changes in the relief and large bodies drastically affect the signal provided by the Gateway. This work demonstrates that mapping the Gateway’s signal is essential to attach modules in the forest, agriculture zones, or even smart cities.pt_PT
dc.description.sponsorshipThis work has been supported by Fundação La Caixa and FCT - Fundação para a Ciência e Tecnologia within the Project Scope: UIDB/5757/2020. Thadeu Brito is supported by FCT PhD Grant Reference SFRH/BD/08598/2020. Beatriz Flamia Azevedo is supported by FCT PhD Grant Reference SFRH/BD/07427/2021.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationBrito, Thadeu; Mendes, João; Zorawski, Matheus; Azevedo, Beatriz Flamia; Khalifeh, Ala; Fernandes, Florbela P.; Pereira, Ana I.; Lima, José; Costa, Paulo (2022). Map coverage of LoRaWAN signal’s employing GPS from mobil. In 2nd International Conference on Optimization, Learning Algorithms and Applications, OL2A 2022. Bragançapt_PT
dc.identifier.urihttp://hdl.handle.net/10198/27279
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectInternet of thingspt_PT
dc.subjectMap coveragept_PT
dc.subjectLoRaWANpt_PT
dc.subjectGPS trackingpt_PT
dc.subjectSignal qualitypt_PT
dc.titleMap coverage of LoRaWAN signal’s employing GPS from mobile devicespt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferencePlaceBragançapt_PT
oaire.citation.title2nd International Conference on Optimization, Learning Algorithms and Applications, OL2A 2022pt_PT
person.familyNameBrito
person.familyNameMendes
person.familyNameZorawski
person.familyNameAzevedo
person.familyNameFernandes
person.familyNamePereira
person.familyNameLima
person.givenNameThadeu
person.givenNameJoão
person.givenNameMatheus
person.givenNameBeatriz Flamia
person.givenNameFlorbela P.
person.givenNameAna I.
person.givenNameJosé
person.identifierBjSISEAAAAAJ
person.identifier2726655
person.identifierR-000-8GD
person.identifier.ciencia-idC911-A95D-712F
person.identifier.ciencia-idEA1F-844D-6BA9
person.identifier.ciencia-idF51A-65EE-50EE
person.identifier.ciencia-id181E-855C-E62C
person.identifier.ciencia-id501D-6FD0-CC53
person.identifier.ciencia-id0716-B7C2-93E4
person.identifier.ciencia-id6016-C902-86A9
person.identifier.orcid0000-0002-5962-0517
person.identifier.orcid0000-0003-0979-8314
person.identifier.orcid0000-0002-8955-2295
person.identifier.orcid0000-0002-8527-7409
person.identifier.orcid0000-0001-9542-4460
person.identifier.orcid0000-0003-3803-2043
person.identifier.orcid0000-0001-7902-1207
person.identifier.ridF-3168-2010
person.identifier.ridL-3370-2014
person.identifier.scopus-author-id57200694948
person.identifier.scopus-author-id57225794972
person.identifier.scopus-author-id57226754922
person.identifier.scopus-author-id35179471000
person.identifier.scopus-author-id15071961600
person.identifier.scopus-author-id55851941311
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationc8641c9a-a994-4ab2-836d-c758c0e44cc9
relation.isAuthorOfPublicationb5c9de22-cf9e-47b8-b7a4-26e08fb12b28
relation.isAuthorOfPublicationebe92fab-3adb-4eb0-8c00-66ab995dc461
relation.isAuthorOfPublication04fa4023-3726-4dd5-8d97-f6b162ceb820
relation.isAuthorOfPublication1f7a9fde-7a4d-4b2c-8f9d-dab571163c33
relation.isAuthorOfPublicatione9981d62-2a2b-4fef-b75e-c2a14b0e7846
relation.isAuthorOfPublicationd88c2b2a-efc2-48ef-b1fd-1145475e0055
relation.isAuthorOfPublication.latestForDiscoverye9981d62-2a2b-4fef-b75e-c2a14b0e7846

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Paper55.pdf
Size:
4.14 MB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description: