Evidence map›Paper›PMID 30463377›Full record

ArticleSensors (Basel, Switzerland)2018

Adaptive Data Synchronization Algorithm for IoT-Oriented Low-Power Wide-Area Networks.

Andrea Petroni, Francesca Cuomo, Leonisio Schepis, Mauro Biagi, Marco Listanti, Gaetano Scarano

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2018. 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
–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

1 citing paper in PubMed.

  1. 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

6 authors.

Andrea PetroniDepartment of Information, Electrical and Telecommunication Engineering (DIET), "Sapienza" University of Rome, 00184 Rome, Italy. andrea.petroni@uniroma1.it.
Francesca CuomoDepartment of Information, Electrical and Telecommunication Engineering (DIET), "Sapienza" University of Rome, 00184 Rome, Italy. francesca.cuomo@uniroma1.it.ORCID 0000-0002-9122-7993
Leonisio SchepisDepartment of Information, Electrical and Telecommunication Engineering (DIET), "Sapienza" University of Rome, 00184 Rome, Italy. schepis.1533794@studenti.uniroma1.it.
Mauro BiagiDepartment of Information, Electrical and Telecommunication Engineering (DIET), "Sapienza" University of Rome, 00184 Rome, Italy. mauro.biagi@uniroma1.it.
Marco ListantiDepartment of Information, Electrical and Telecommunication Engineering (DIET), "Sapienza" University of Rome, 00184 Rome, Italy. marco.listanti@uniroma1.it.
Gaetano ScaranoDepartment of Information, Electrical and Telecommunication Engineering (DIET), "Sapienza" University of Rome, 00184 Rome, Italy. gaetano.scarano@uniroma1.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Internet of Things (IoT) is by now very close to be realized, leading the world towards a new technological era where people's lives and habits will be definitively revolutionized. Furthermore, the incoming 5G technology promises significant enhancements concerning the Quality of Service (QoS) in mobile communications. Having billions of devices simultaneously connected has opened new challenges about network management and data exchange rules that need to be tailored to the characteristics of the considered scenario. A large part of the IoT market is pointing to Low-Power Wide-Area Networks (LPWANs) representing the infrastructure for several applications having energy saving as a mandatory goal besides other aspects of QoS. In this context, we propose a low-power IoT-oriented file synchronization protocol that, by dynamically optimizing the amount of data to be transferred, limits the device level of interaction within the network, therefore extending the battery life. This protocol can be adopted with different Layer 2 technologies and provides energy savings at the IoT device level that can be exploited by different applications.

Indexed as

Internet of ThingsLPWANsrdiffsynchronization

Identifiers

PMID30463377
PMCPMC6263504

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.