Evidence map›Paper›PMID 31555010›Full record

ArticleProceedings of the IEEE. Institute of Electrical and Electronics Engineers2019

Wireless Network Design for Emerging IIoT Applications: Reference Framework and Use Cases.

Yongkang Liu, Mohamed Kashef, Kang Lee, Lotfi Benmohamed, Richard Candell

Abstract read
In one paragraph

Article in Proceedings of the IEEE. Institute of Electrical and Electronics Engineers, 2019. 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

5 authors.

Yongkang LiuAdvanced Network Technologies Division, Information Technology Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA 20899.
Mohamed KashefAdvanced Network Technologies Division, Information Technology Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA 20899.
Kang LeeIntelligent Systems Division, Engineering Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA 20899.
Lotfi BenmohamedAdvanced Network Technologies Division, Information Technology Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA 20899.
Richard CandellIntelligent Systems Division, Engineering Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA 20899.

Funding

Intramural NIST DOC 9999-NIST
6 · The paper itself

Abstract

Industrial Internet of Things (IIoT) applications, featured with data-centric innovations, are leveraging the observability, control, and analytics, as well as the safety of industrial operations. In IIoT deployments, wireless links are increasingly used in improving the operational connectivity for industrial data services, such as collecting massive process data, communicating with industrial robots, and tracking machines/parts/products on the factory floor and beyond. The wireless system design for IIoT applications is inherently a joint effort between operational technology (OT) engineers, information technology (IT) system architects, and wireless network planners. In this paper, we propose a new reference framework for the wireless system design in IIoT use cases. The framework presents a generic design process and identifies the key questions and tools of individual procedures. Specifically, we extract impact factors from distinct domains including industrial operations and environments, data service dynamics, and the IT infrastructure. We then map these factors into function clusters and discuss their respective impact on performance metrics and resource utilization strategies. Finally, discussions take place in four exemplary IIoT applications where we use the framework to identify the wireless network issues and deployment features in the continuous process monitoring, discrete system control, mobile applications, and spectrum harmonization, respectively. The goals of this work are twofold: 1) to assist OT engineers to better recognize wireless communication demands and challenges in their plants, 2) to help industrial IT specialists to come up with operative and efficient end-to-end wireless solutions to meet demanding needs in factory environments.

Indexed as

design reference frameworkIndustrial Internet of Things (IIoT)industrial wireless networks

Identifiers

PMID31555010
PMCPMC6760003

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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.