Evidence map›Paper›PMID 36616671›Full record

ReviewSensors (Basel, Switzerland)2022

Wireless Communications for Smart Manufacturing and Industrial IoT: Existing Technologies, 5G and Beyond.

Md Noor-A-Rahim, Jobish John, Fadhil Firyaguna, Hafiz Husnain Raza Sherazi, Sergii Kushch, Aswathi Vijayan, Eoin O'Connell, Dirk Pesch, Brendan O'Flynn, William O'Brien and 2 more

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. 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

12 authors.

Md Noor-A-RahimSchool of Computer Science and Information Technology, University College Cork, Cork T12 R229, Ireland.ORCID 0000-0003-0587-3145
Jobish JohnSchool of Computer Science and Information Technology, University College Cork, Cork T12 R229, Ireland.
Fadhil FiryagunaSchool of Computer Science and Information Technology, University College Cork, Cork T12 R229, Ireland.
Hafiz Husnain Raza SheraziSchool of Computing and Engineering, University of West London, London W5 5RF, UK.ORCID 0000-0001-8152-4065
Sergii KushchDepartment of Electronic and Computer Engineering, University of Limerick, Limerick V94 T9PX, Ireland.ORCID 0000-0002-5908-7169
Aswathi VijayanSchool of Computer Science and Information Technology, University College Cork, Cork T12 R229, Ireland.
Eoin O'ConnellDepartment of Electronic and Computer Engineering, University of Limerick, Limerick V94 T9PX, Ireland.ORCID 0000-0002-3173-140X
Dirk PeschSchool of Computer Science and Information Technology, University College Cork, Cork T12 R229, Ireland.ORCID 0000-0001-9706-5705
Brendan O'FlynnTyndall National Institute, University College Cork, Cork T12 R5CP, Ireland.ORCID 0000-0002-5522-2597
William O'BrienDepartment of Electronic and Computer Engineering, University of Limerick, Limerick V94 T9PX, Ireland.ORCID 0000-0001-7517-8530
Martin HayesDepartment of Electronic and Computer Engineering, University of Limerick, Limerick V94 T9PX, Ireland.
Eddie ArmstrongJohnson & Johnson, Limerick V94 N732, Ireland.

Funding

EU H2020 MSCA Cofund EDGE-713567, SMART-847577,Johnson and Johnson SFI 16/RC/3918 CONFIRM TP1 J&J INDScience Foundation Ireland SFI 16/RC/3918 (CONFIRM - Centre),
6 · The paper itself

Abstract

Smart manufacturing is a vision and major driver for change in today's industry. The goal of smart manufacturing is to optimize manufacturing processes through constantly monitoring, controlling, and adapting processes towards more efficient and personalised manufacturing. This requires and relies on technologies for connected machines incorporating a variety of computation, sensing, actuation, and machine to machine communications modalities. As such, understanding the change towards smart manufacturing requires knowledge of the enabling technologies, their applications in real world scenarios and the communication protocols and their performance to meet application requirements. Particularly, wireless communication is becoming an integral part of modern smart manufacturing and is expected to play an important role in achieving the goals of smart manufacturing. This paper presents an extensive review of wireless communication protocols currently applied in manufacturing environments and provides a comprehensive review of the associated use cases whilst defining their expected impact on the future of smart manufacturing. Based on the review, we point out a number of open challenges and directions for future research in wireless communication technologies for smart manufacturing.

Indexed as

CommerceIndustryCommunicationKnowledgeTechnology5G6Genergy harvestingindustrial automationindustrial IoTindustry 4.0industry 5.0M2M communicationssmart factoriessmart manufacturingwireless protocols

Identifiers

PMID36616671
PMCPMC9824593

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.