Evidence map›Paper›PMID 37430640›Full record

ArticleSensors (Basel, Switzerland)2023

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

Alessandro Pozzebon, Irene Cappelli, Filippo Campagnaro, Roberto Francescon, Michele Zorzi

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.4field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 12 citations in OpenAlex.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Alessandro PozzebonDepartment of Information Engineering, University of Padova, Via Gradenigo 6/b, 35131 Padova, Italy.ORCID 0000-0003-3991-8858
Irene CappelliDepartment of Information Engineering and Mathematics, University of Siena, Via Roma 56, 53100 Siena, Italy.ORCID 0000-0001-8660-7708
Filippo CampagnaroDepartment of Information Engineering, University of Padova, Via Gradenigo 6/b, 35131 Padova, Italy.ORCID 0000-0003-0432-7310
Roberto FrancesconDepartment of Information Engineering, University of Padova, Via Gradenigo 6/b, 35131 Padova, Italy.ORCID 0000-0002-2018-536X
Michele ZorziDepartment of Information Engineering, University of Padova, Via Gradenigo 6/b, 35131 Padova, Italy.ORCID 0000-0003-2870-4678
University of Padua · ITUniversity of Siena · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Internet of Underwater ThingsLoRaLoRaWANmarine sensor networkssalt watertransmission performanceunderwater to above water

Identifiers

PMID37430640
PMCPMC10223542
OpenAlexW4382173537

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.