Evidence map›Paper›PMID 38544064›Full record

ArticleSensors (Basel, Switzerland)2024

LoRaWAN for Vehicular Networking: Field Tests for Vehicle-to-Roadside Communication.

Gabriele Di Renzone, Stefano Parrino, Giacomo Peruzzi, Alessandro Pozzebon, Lorenzo Vangelista

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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.

Gabriele Di RenzoneDepartment of Information Engineering, University of Pisa, 56122 Pisa, Italy.ORCID 0000-0001-7791-1679
Stefano ParrinoDepartment of Information Engineering and Mathematics, University of Siena, 53100 Siena, Italy.ORCID 0000-0002-9093-5162
Giacomo PeruzziDepartment of Information Engineering, University of Padova, 35131 Padova, Italy.ORCID 0000-0002-6311-7332
Alessandro PozzebonDepartment of Information Engineering, University of Padova, 35131 Padova, Italy.ORCID 0000-0003-3991-8858
Lorenzo VangelistaDepartment of Information Engineering, University of Padova, 35131 Padova, Italy.ORCID 0000-0002-4898-6951

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vehicular wireless networks are one of the most valuable tools for monitoring platforms in the automotive domain. At the same time, Internet of Things (IoT) solutions are playing a crucial role in the same framework, allowing users to connect to vehicles in order to gather data related to their working cycle. Such tasks can be accomplished by resorting to either cellular or non-cellular wireless technologies. While the former can ensure low latency but require high running costs, the latter can be employed in quasi-real-time applications but definitely reduce costs. To this end, this paper proposes the results of two measurement campaigns aimed at assessing the performance of the long-range wide-area network (LoRaWAN) protocol when it is exploited as an enabling technology to provide vehicles with connectivity. Performances are evaluated in terms of packet loss (PL) and received signal strength indicator (RSSI) in wireless links. The two testing scenarios consisted of a transmitter installed on a motorbike running on an elliptical track and a receiver placed in the centre of the track, and a transmitter installed on the roof of a car and a receiver placed next to a straight road. Several speeds were tested, and all the spreading factors (SFs) foreseen by the protocol were examined, showing that the Doppler effect has a marginal influence on the receiving performance of the technology, and that, on the whole, performance is not significantly affected by the speed. Such results prove the feasibility of LoRaWAN links for vehicular network purposes.

Indexed as

IoTLoRaWANtransmission performance analysisvehicular wireless networkswireless links in motion

Identifiers

PMID38544064
PMCPMC10975671

What Socratic 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 Socratic graph.