Publication
Modeling LoRa Communications in Estuaries for IoT Environmental Monitoring Systems
| dc.contributor.author | Gutiérrez Gaitán, Miguel | |
| dc.contributor.author | D'Orey, Pedro | |
| dc.contributor.author | Cecílio, José | |
| dc.contributor.author | Rodrigues, Marta | |
| dc.contributor.author | Santos, Pedro Miguel | |
| dc.contributor.author | Pinto, Luis | |
| dc.contributor.author | Oliveira, Anabela | |
| dc.contributor.author | Casimiro, António | |
| dc.contributor.author | Almeida, Luis | |
| dc.date.accessioned | 2022-09-20T14:02:00Z | |
| dc.date.available | 2022-09-20T14:02:00Z | |
| dc.date.issued | 2022-09-06 | |
| dc.description.abstract | Low-power wide-area networks are extending beyond the conventional terrestrial domain. Coastal zones, rivers, wetlands, among others, are nowadays common deployment settings for Internet-of-Things nodes where communication technologies such as LoRa are becoming popular. In this article, we investigate large-scale fading dynamics of LoRa line-of-sight links deployed over an estuary with characteristic intertidal zones, considering both shore-to-shore and shore-to-vessel communications. We propose a novel methodology for path loss prediction which captures i) spatial, ii) temporal and iii) physical features of the RF signal interaction with the environmental dynamics, integrating those features into the two-ray propagation model. To this purpose, we resort to precise hydrodynamic modeling of the estuary, including the specific terrain profile (bathymetry) at the reflection point. These aspects are key to accounting for a reflecting surface of varying altitude and permittivity as a function of the tide. Experimental measurements using LoRa devices operating in the 868~MHz band show major trends on the received signal power in agreement with the methodology's predictions. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.doi | 10.1109/JSEN.2022.3205760 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10400.22/20888 | |
| dc.language.iso | eng | pt_PT |
| dc.relation.publisherversion | https://ieeexplore.ieee.org/document/9894283 | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | pt_PT |
| dc.subject | Intertidal zone | pt_PT |
| dc.subject | LoRa | pt_PT |
| dc.subject | Overwater communications | pt_PT |
| dc.subject | Path loss | pt_PT |
| dc.subject | Propagation | pt_PT |
| dc.subject | RF | pt_PT |
| dc.subject | Tidal fading | pt_PT |
| dc.subject | Two-ray model | pt_PT |
| dc.title | Modeling LoRa Communications in Estuaries for IoT Environmental Monitoring Systems | pt_PT |
| dc.title.alternative | 220902 | pt_PT |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.citation.title | IEEE Sensors Journal | pt_PT |
| person.familyName | Gutiérrez Gaitán | |
| person.familyName | d'Orey | |
| person.familyName | Almeida | |
| person.givenName | Miguel | |
| person.givenName | Pedro | |
| person.givenName | Luis | |
| person.identifier | R-000-9S3 | |
| person.identifier.ciencia-id | 451F-8C52-3194 | |
| person.identifier.ciencia-id | 231E-8B52-E13F | |
| person.identifier.orcid | 0000-0002-3307-8731 | |
| person.identifier.orcid | 0000-0002-2017-808X | |
| person.identifier.orcid | 0000-0002-9544-3028 | |
| person.identifier.rid | A-5262-2013 | |
| person.identifier.rid | K-2054-2014 | |
| person.identifier.scopus-author-id | 57192172325 | |
| person.identifier.scopus-author-id | 36730839700 | |
| person.identifier.scopus-author-id | 35727555700 | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | article | pt_PT |
| relation.isAuthorOfPublication | 3512370f-381d-42ec-95e1-6ddd459c8169 | |
| relation.isAuthorOfPublication | bcc1a63c-0b9b-478e-9caa-b8f03354c781 | |
| relation.isAuthorOfPublication | 94ed54ee-f57a-4bdc-bbc2-125dd40f785c | |
| relation.isAuthorOfPublication.latestForDiscovery | 94ed54ee-f57a-4bdc-bbc2-125dd40f785c |