Evidence map›Paper›PMID 37299925›Full record

ArticleSensors (Basel, Switzerland)2023

Industrial Internet of Things over 5G: A Practical Implementation.

José Meira, Gonçalo Matos, André Perdigão, José Cação, Carlos Resende, Waldir Moreira, Mário Antunes, José Quevedo, Ruben Moutinho, João Oliveira and 5 more

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
5.3field-weighted citation impact, top 4% 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, 26 citations in OpenAlex.

  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

15 authors at 2 institutions in 2 countries.

José MeiraFraunhofer Portugal AICOS, 4200-135 Porto, Portugal.ORCID 0009-0000-0728-8113
Gonçalo MatosBosch Termotecnologia SA, 3800-627 Cacia, Portugal.ORCID 0000-0002-9404-6231
André PerdigãoDepartment of Electronics, Telecommunications and Informatics, Instituto de Telecomunicações, University of Aveiro, 3810-193 Aveiro, Portugal.ORCID 0000-0002-6854-8115
José CaçãoDepartment of Electronics, Telecommunications and Informatics, Instituto de Telecomunicações, University of Aveiro, 3810-193 Aveiro, Portugal.ORCID 0000-0002-4627-079X
Carlos ResendeFraunhofer Portugal AICOS, 4200-135 Porto, Portugal.ORCID 0000-0002-1834-0420
Waldir MoreiraFraunhofer Portugal AICOS, 4200-135 Porto, Portugal.ORCID 0000-0002-4310-2379
Mário AntunesDepartment of Electronics, Telecommunications and Informatics, Instituto de Telecomunicações, University of Aveiro, 3810-193 Aveiro, Portugal.ORCID 0000-0002-6504-9441
José QuevedoInstituto de Telecomunicações, 3810-193 Aveiro, Portugal.ORCID 0000-0002-8112-6726
Ruben MoutinhoFraunhofer Portugal AICOS, 4200-135 Porto, Portugal.ORCID 0000-0002-5200-4260
João OliveiraFraunhofer Portugal AICOS, 4200-135 Porto, Portugal.ORCID 0000-0003-3667-4958
Pedro RendeiroBosch Termotecnologia SA, 3800-627 Cacia, Portugal.ORCID 0009-0008-5850-5374
Pedro OliveiraDepartment of Electronics, Telecommunications and Informatics, Instituto de Telecomunicações, University of Aveiro, 3810-193 Aveiro, Portugal.ORCID 0000-0002-4763-4938
Antonio Oliveira-JrFraunhofer Portugal AICOS, 4200-135 Porto, Portugal.ORCID 0000-0003-3595-3525
José SantosDepartment of Electronics, Telecommunications and Informatics, Instituto de Telecomunicações, University of Aveiro, 3810-193 Aveiro, Portugal.ORCID 0000-0003-0417-8167
Rui L AguiarDepartment of Electronics, Telecommunications and Informatics, Instituto de Telecomunicações, University of Aveiro, 3810-193 Aveiro, Portugal.ORCID 0000-0003-0107-6253
Instituto de Telecomunicações · PTFraunhofer Portugal Research · PT

Funding

Competitiveness and Internationalization Operational Program Lisbon Regional Operational ProgramEuropean Regional Development Fund POCI- 659 01-0247-FEDER-046103 and LISBOA-01-0247-FEDER-046103Project Augmented Humanity - Portugal 2020 POCI- 659 01-0247-FEDER-046103 and LISBOA-01-0247-FEDER-046103
6 · The paper itself

Abstract

The next generation of mobile broadband communication, 5G, is seen as a driver for the industrial Internet of things (IIoT). The expected 5G-increased performance spanning across different indicators, flexibility to tailor the network to the needs of specific use cases, and the inherent security that offers guarantees both in terms of performance and data isolation have triggered the emergence of the concept of public network integrated non-public network (PNI-NPN) 5G networks. These networks might be a flexible alternative for the well-known (albeit mostly proprietary) Ethernet wired connections and protocols commonly used in the industry setting. With that in mind, this paper presents a practical implementation of IIoT over 5G composed of different infrastructure and application components. From the infrastructure perspective, the implementation includes a 5G Internet of things (IoT) end device that collects sensing data from shop floor assets and the surrounding environment and makes these data available over an industrial 5G Network. Application-wise, the implementation includes an intelligent assistant that consumes such data to generate valuable insights that allow for the sustainable operation of assets. These components have been tested and validated in a real shop floor environment at Bosch Termotecnologia (Bosch TT). Results show the potential of 5G as an enhancer of IIoT towards smarter, more sustainable, green, and environmentally friendly factories.

Indexed as

Internet of ThingsCommunicationIndustryIntelligenceInternet5G IoT end deviceindustrial 5G networkintelligent assistantpractical implementation

Identifiers

PMID37299925
PMCPMC10255995
OpenAlexW4378907314

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.