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Sensors
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5G and beyond Communication Networks in Industry 4.0
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5G and beyond Communication Networks in Industry 4.0

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: closed (20 February 2023) | Viewed by 11431

Special Issue Editors

Dr. Petros Bithas

E-Mail Website
Guest Editor
Department of Digital Industry Technologies, National and Kapodistrian University of Athens, 157 72 Athens, Greece
Interests: wireless communication systems; wireless channel modeling; performance analysis
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Demosthenes D. Vouyioukas

E-Mail Website
Guest Editor
Computer and Communication Systems Laboratory, Department of Information and Communication Systems Engineering, University of the Aegean, 83200 Samos, Greece
Interests: mobile and wireless communication systems; channel characterization and propagation models; performance modeling of wireless networks; 5G opportunistic mobile networks; cooperative communications; satellite networks

Special Issue Information

Dear Colleagues,

Industry 4.0 is a new revolutionized approach for enabling interconnectivity, automation, machine learning, and real-time data in the industrial ecosystem. In this context, various technologies are expected to be integrated into smart factories, including augmented reality, robots, Internet of Things, cybersecurity, cloud computing, and big data. The impact of fifth generation (5G) and 5G beyond (5Gb) communication networks in the realization of the industry 4.0 is unique, since it is the only way towards enabling the new operating model in which connectivity for anything is required. More specifically, building upon the cornerstones of the 5G networks, i.e., increased speed, reduced latency, a massive number of devices, and high reliability, ambitious targets such as 0.1 ms minimum latency at 10-9 reliability for a massive number of devices can be achieved. This ambiguous landscape regarding 5Gb applications in Industry 4.0 has motivated the present Special Issue, whose aim is to introduce the current research activities in this area. Authors are invited to submit high quality papers on topics that include (but are not limited to) the following:

  • Industrial Internet of Things (IIoT)
  • Cloud/digital manufacturing and edge computing
  • Machine learning and big data solutions for wireless communications in industry and manufacturing
  • Time-sensitive communication solutions
  • Hierachical communication and data management
  • Physical layer security
  • Authentication and access control
  • Propagation in harsh environments
  • RF energy harvesting techniques and applications
  • Wireless networked control systems
  • Protocols for industrial automation platforms

Dr. Petros Bithas
Prof. Dr. Demosthenes D. Vouyioukas
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (3 papers)

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Research

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16 pages, 690 KiB  
Article
A Secure Online Fingerprint Authentication System for Industrial IoT Devices over 5G Networks
by Aseel Bedari, Song Wang and Wencheng Yang
Sensors 2022, 22(19), 7609; https://0-doi-org.brum.beds.ac.uk/10.3390/s22197609 - 07 Oct 2022
Cited by 7 | Viewed by 2222
Abstract
The development of 5G networks has rapidly increased the use of Industrial Internet of Things (IIoT) devices for control, monitoring, and processing purposes. Biometric-based user authentication can prevent unauthorized access to IIoT devices, thereby safeguarding data security during production. However, most biometric authentication [...] Read more.
The development of 5G networks has rapidly increased the use of Industrial Internet of Things (IIoT) devices for control, monitoring, and processing purposes. Biometric-based user authentication can prevent unauthorized access to IIoT devices, thereby safeguarding data security during production. However, most biometric authentication systems in the IIoT have no template protection, thus risking raw biometric data stored as templates in central databases or IIoT devices. Moreover, traditional biometric authentication faces slow, limited database holding capacity and data transmission problems. To address these issues, in this paper we propose a secure online fingerprint authentication system for IIoT devices over 5G networks. The core of the proposed system is the design of a cancelable fingerprint template, which protects original minutia features and provides privacy and security guarantee for both entity users and the message content transmitted between IIoT devices and the cloud server via 5G networks.Compared with state-of-the-art methods, the proposed authentication system shows competitive performance on six public fingerprint databases, while saving computational costs and achieving fast online matching. Full article
(This article belongs to the Special Issue 5G and beyond Communication Networks in Industry 4.0)
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11 pages, 751 KiB  
Communication
5G Numerologies Assessment for URLLC in Industrial Communications
by David Segura, Emil J. Khatib, Jorge Munilla and Raquel Barco
Sensors 2021, 21(7), 2489; https://0-doi-org.brum.beds.ac.uk/10.3390/s21072489 - 03 Apr 2021
Cited by 17 | Viewed by 3365
Abstract
The fifth-generation (5G) network is presented as one of the main options for Industry 4.0 connectivity. Ultra-Reliable and Low Latency Communications (URLLC) is the 5G service category used by critical mechanisms, with a millisecond end-to-end delay and reduced probability of failure. 5G defines [...] Read more.
The fifth-generation (5G) network is presented as one of the main options for Industry 4.0 connectivity. Ultra-Reliable and Low Latency Communications (URLLC) is the 5G service category used by critical mechanisms, with a millisecond end-to-end delay and reduced probability of failure. 5G defines new numerologies, together with mini-slots for a faster scheduling. The main challenge of this is to select the appropriate numerology according to radio conditions. This fact is very important in industrial scenarios, where the fundamental problems are interference and multipath propagation, due to the presence of concrete walls and large metallic machinery and structures. Therefore, this paper is focused on analyzing the impact of the numerology selection on the delay experienced at radio link level for a remote-control service. The study, which has been carried out in a simulated cellular factory environment, has been performed for different packet sizes and channel conditions, focusing on outliers. Evaluation results show that not always a higher numerology, with a shorter slot duration, is appropriate for this type of service, particularly under Non-Line-of-Sight (NLOS) conditions. Full article
(This article belongs to the Special Issue 5G and beyond Communication Networks in Industry 4.0)
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Review

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25 pages, 1401 KiB  
Review
Millimeter-Wave Smart Antenna Solutions for URLLC in Industry 4.0 and Beyond
by Abdul Jabbar, Qammer H. Abbasi, Nadeem Anjum, Tahera Kalsoom, Naeem Ramzan, Shehzad Ahmed, Piyya Muhammad Rafi-ul-Shan, Oluyemi Peter Falade, Muhammad Ali Imran and Masood Ur Rehman
Sensors 2022, 22(7), 2688; https://0-doi-org.brum.beds.ac.uk/10.3390/s22072688 - 31 Mar 2022
Cited by 20 | Viewed by 4304
Abstract
Industry 4.0 is a new paradigm of digitalization and automation that demands high data rates and real-time ultra-reliable agile communication. Industrial communication at sub-6 GHz industrial, scientific, and medical (ISM) bands has some serious impediments, such as interference, spectral congestion, and limited bandwidth. [...] Read more.
Industry 4.0 is a new paradigm of digitalization and automation that demands high data rates and real-time ultra-reliable agile communication. Industrial communication at sub-6 GHz industrial, scientific, and medical (ISM) bands has some serious impediments, such as interference, spectral congestion, and limited bandwidth. These limitations hinder the high throughput and reliability requirements of modern industrial applications and mission-critical scenarios. In this paper, we critically assess the potential of the 60 GHz millimeter-wave (mmWave) ISM band as an enabler for ultra-reliable low-latency communication (URLLC) in smart manufacturing, smart factories, and mission-critical operations in Industry 4.0 and beyond. A holistic overview of 60 GHz wireless standards and key performance indicators are discussed. Then the review of 60 GHz smart antenna systems facilitating agile communication for Industry 4.0 and beyond is presented. We envisage that the use of 60 GHz communication and smart antenna systems are crucial for modern industrial communication so that URLLC in Industry 4.0 and beyond could soar to its full potential. Full article
(This article belongs to the Special Issue 5G and beyond Communication Networks in Industry 4.0)
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