Evidence map›Paper›PMID 35957403›Full record

ReviewSensors (Basel, Switzerland)2022

Key Challenges and Emerging Technologies in Industrial IoT Architectures: A Review.

Akseer Ali Mirani, Gustavo Velasco-Hernandez, Anshul Awasthi, Joseph Walsh

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 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
  2. Article
  3. Article
  4. Architectures for Industrial AIoT Applications.Sensors (Basel, Switzerland) · 2024
    Article
  5. Review
  6. Article
  7. Article
  8. 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

4 authors.

Akseer Ali MiraniIMaR Research Centre, Munster Technological University, V92 CX88 Tralee, Ireland.ORCID 0000-0002-0207-5773
Gustavo Velasco-HernandezIMaR Research Centre, Munster Technological University, V92 CX88 Tralee, Ireland.ORCID 0000-0002-2177-6348
Anshul AwasthiIMaR Research Centre, Munster Technological University, V92 CX88 Tralee, Ireland.
Joseph WalshIMaR Research Centre, Munster Technological University, V92 CX88 Tralee, Ireland.

Funding

European Union 754489Science Foundation Ireland 13/RC/2094_P2Science Foundation Ireland 16/RC/3918
6 · The paper itself

Abstract

The Industrial Internet of Things (IIoT) is bringing evolution with remote monitoring, intelligent analytics, and control of industrial processes. However, as the industrial world is currently in its initial stage of adopting full-stack development solutions with IIoT, there is a need to address the arising challenges. In this regard, researchers have proposed IIoT architectures based on different architectural layers and emerging technologies for the end-to-end integration of IIoT systems. In this paper, we review and compare three widely accepted IIoT reference architectures and present a state-of-the-art review of conceptual and experimental IIoT architectures from the literature. We identified scalability, interoperability, security, privacy, reliability, and low latency as the main IIoT architectural requirements and detailed how the current architectures address these challenges by using emerging technologies such as edge/fog computing, blockchain, SDN, 5G, Machine Learning, and Wireless Sensor Networks (WSN). Finally, we discuss the relation between the current challenges and emergent technologies and present some opportunities and directions for future research work.

Indexed as

BlockchainInternet of ThingsComputer SecurityPrivacyReproducibility of Resultsblockchainedge/fog computingIIoT architecturesIndustry 4.0interoperabilitylow latencyreliabilityscalabilitysecuritysoftware-defined networking

Identifiers

PMID35957403
PMCPMC9371229

What OpenQuestion holds

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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.