Evidence map›Paper›PMID 37960657›Full record

ReviewSensors (Basel, Switzerland)2023

A Survey on the Role of Industrial IoT in Manufacturing for Implementation of Smart Industry.

Muhammad Shoaib Farooq, Muhammad Abdullah, Shamyla Riaz, Atif Alvi, Furqan Rustam, Miguel Angel López Flores, Juan Castanedo Galán, Md Abdus Samad, Imran Ashraf

Abstract readReview
In one paragraph

Review 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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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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

9 authors.

Muhammad Shoaib FarooqDepartment of Computer Science, University of Management and Technology, Lahore 54000, Pakistan.ORCID 0000-0002-4095-8868
Muhammad AbdullahDepartment of Computer Science, University of Management and Technology, Lahore 54000, Pakistan.
Shamyla RiazDepartment of Computer Science, University of Management and Technology, Lahore 54000, Pakistan.
Atif AlviDepartment of Computer Science, University of Management and Technology, Lahore 54000, Pakistan.
Furqan RustamSchool of Computer Science, University College Dublin, D04 V1W8 Dublin, Ireland.ORCID 0000-0001-8403-1047
Miguel Angel López FloresResearch Group on Foods, Universidad Europea del Atlantico, Isabel Torres 21, 39011 Santander, Spain.ORCID 0009-0002-5524-5366
Juan Castanedo GalánResearch Group on Foods, Universidad Europea del Atlantico, Isabel Torres 21, 39011 Santander, Spain.ORCID 0000-0001-7156-9585
Md Abdus SamadDepartment of Information and Communication Engineering, Yeungnam University, Gyeongsan 38541, Republic of Korea.ORCID 0000-0002-1990-6924
Imran AshrafDepartment of Information and Communication Engineering, Yeungnam University, Gyeongsan 38541, Republic of Korea.ORCID 0000-0002-8271-6496

Funding

the European University of the Atlantic N/A
6 · The paper itself

Abstract

The Internet of Things (IoT) is an innovative technology that presents effective and attractive solutions to revolutionize various domains. Numerous solutions based on the IoT have been designed to automate industries, manufacturing units, and production houses to mitigate human involvement in hazardous operations. Owing to the large number of publications in the IoT paradigm, in particular those focusing on industrial IoT (IIoT), a comprehensive survey is significantly important to provide insights into recent developments. This survey presents the workings of the IoT-based smart industry and its major components and proposes the state-of-the-art network infrastructure, including structured layers of IIoT architecture, IIoT network topologies, protocols, and devices. Furthermore, the relationship between IoT-based industries and key technologies is analyzed, including big data storage, cloud computing, and data analytics. A detailed discussion of IIoT-based application domains, smartphone application solutions, and sensor- and device-based IIoT applications developed for the management of the smart industry is also presented. Consequently, IIoT-based security attacks and their relevant countermeasures are highlighted. By analyzing the essential components, their security risks, and available solutions, future research directions regarding the implementation of IIoT are outlined. Finally, a comprehensive discussion of open research challenges and issues related to the smart industry is also presented.

Indexed as

industrial IoTInternet of Thingsnetwork protocolssmart industry

Identifiers

PMID37960657
PMCPMC10650216

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.