LoRaWAN Transmissions in Salt Water for Superficial Marine Sensor Networking: Laboratory and Field Tests.

Internet of Underwater Things LoRa LoRaWAN marine sensor networks salt water transmission performance underwater to above water

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
13 May 2023
Historique:
received: 14 04 2023
revised: 10 05 2023
accepted: 11 05 2023
medline: 11 7 2023
pubmed: 11 7 2023
entrez: 11 7 2023
Statut: epublish

Résumé

In this paper, the authors present the results of a set of measurements carried out to analyze the transmission capabilities of the LoRaWAN technology for underwater to above water transmission in saline water. A theoretical analysis was used to model the link budget of the radio channel in the considered operative conditions and to estimate the electrical permittivity of salt water. Preliminary measurements were performed in the laboratory at different salinity levels to confirm the application boundaries of the technology, then field tests were conducted in the Venice lagoon. While these test are not focused on demonstrating the usability of LoRaWAN to collect data underwater, the achieved results demonstrate that LoRaWAN transmitters can be used in all those conditions when they are expected to be partially or totally submerged below a thin layer of marine water, in accordance with the prediction of the proposed theoretical model. This achievement paves the way for the deployment of superficial marine sensor networks in the Internet of Underwater Things (IoUT) context, as for the monitoring of bridges, harbor structures, water parameters and water sport athletes and for the realization of high-water or fill-level alarm systems.

Identifiants

pubmed: 37430640
pii: s23104726
doi: 10.3390/s23104726
pmc: PMC10223542
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Références

Sensors (Basel). 2020 Sep 21;20(18):
pubmed: 32967124
Sensors (Basel). 2022 Jan 29;22(3):
pubmed: 35161813
Sensors (Basel). 2020 Jun 28;20(13):
pubmed: 32605303
Sensors (Basel). 2022 May 22;22(10):
pubmed: 35632323
Sensors (Basel). 2021 Feb 13;21(4):
pubmed: 33668599

Auteurs

Alessandro Pozzebon (A)

Department of Information Engineering, University of Padova, Via Gradenigo 6/b, 35131 Padova, Italy.

Irene Cappelli (I)

Department of Information Engineering and Mathematics, University of Siena, Via Roma 56, 53100 Siena, Italy.

Filippo Campagnaro (F)

Department of Information Engineering, University of Padova, Via Gradenigo 6/b, 35131 Padova, Italy.

Roberto Francescon (R)

Department of Information Engineering, University of Padova, Via Gradenigo 6/b, 35131 Padova, Italy.

Michele Zorzi (M)

Department of Information Engineering, University of Padova, Via Gradenigo 6/b, 35131 Padova, Italy.

Classifications MeSH