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Next Generation IoT Applications in Smart Manufacturing and Industry 5.0
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Next Generation IoT Applications in Smart Manufacturing and Industry 5.0

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

Deadline for manuscript submissions: closed (15 January 2023) | Viewed by 18464

Special Issue Editors

Prof. Dr. Antonio Corradi

E-Mail Website
Guest Editor
Department of Computer Science and Engineering (DISI), Alma Mater Studiorum, Università di Bologna, 40126 Bologna, Italy
Interests: Industry 4.0 and IIoT; infrastructures for multicloud; fog computing and edge; protocols for industrial IoT; smart cities and crowdsensing; innovation and technology transfer; innovation service for smart manufacturing; serverless architectures and FaaS; service innovation and design thinking
Prof. Dr. Shaofang Gong

E-Mail Website
Guest Editor
Department of Sceince and Technology, Linköping University, Campus Norrköping, 602 21 Norrköping, Sweden
Interests: communication electronics; wireless sensor networks; Internet of Things; data transmission and analytics; digitalization and industry 5.0
Dr. Domenico Scotece

E-Mail Website
Guest Editor
Department of Computer Science and Engineering (DISI), Alma Mater Studiorum, Università di Bologna, 40126 Bologna, Italy
Interests: cloud computing; fog computing and edge; Industry 5.0; Industrial Internet of things (IIoT); middleware; software defined networking

Special Issue Information

Dear Colleagues,

The market requirements imposed on manufacturing companies and the availability of new quality sensor technology and good Cloud continuum chains have created a necessity for new innovative services for Industry 5.0 and the Industrial Internet of Things (IIoT). The pandemic crisis has further stimulated the quest for new strategies and new investments and opportunities to accelerate research.

The large-scale chain of production, in both operation and information technologies (OT and IT), necessitates entirely new forms of operations. The potential for innovative services and data arriving from any possible source can lead to disruptive changes in OT, while the IT architecture must extend it in new ways, from any aspect in terms of Cloud, Edge, and Smart industrial applications.

This Special Issue of Sensors aims to collect both reviews and original research papers on advancing all aspects of IIoT related to manufacturing sensors, to push forward the technology for the Industry 5.0 era.

Potential topics include but are not limited to the following:

  • Synergic innovation for OT and IT architectures;
  • Quality pub/sub models and implementations;
  • Integration of OPC UA and enhancements;
  • Protocols for TSN and case studies in IIoT;
  • New models and applications of digital twins;
  • Cloud continuum architecture innovation for Industry 5.0;
  • Integration and partitioning of Cloud–Edge computing;
  • Serverless computing and FaaS (defined) in manufacturing;
  • Advanced simulation and novel digital twins;
  • Infrastructures toward mobility and offloading;
  • Innovative crowdsensing and sensor mobility;
  • Big data architectures for manufacturing;
  • Workflow management and frameworks for Industry 5.0;
  • Diagnostic and prognostic in predictive maintenance;
  • Human–machine interaction;
  • Crowdsensing and smart cities;
  • Real-time-based digital twins and simulation;
  • Cyber safe data transmission, storage, and analysis solutions;
  • Artificial Intelligence and machine learning services;
  • Solutions for energy efficiency and trustworthy autonomy;
  • Real-world industrial use cases of 5G technology;
  • Multi-access Edge computing and network slicing in Industry 5.0;
  • Digitalization and Industry 5.0;
  • 5G performance analysis in Industry 5.0.

Prof. Dr. Antonio Corradi
Prof. Dr. Shaofang Gong
Dr. Domenico Scotece
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.

Keywords

  • IIoT and I5.0
  • OT and IT integration
  • Communication protocols for OT
  • Cloud continuum, Fog, and Edge computing
  • New services for I5.0 and smart cities and communities
  • Novel models of execution and containerization
  • Dynamic and self-management
  • Big data protocols, tools, and architectures
  • Digitalization and predictive maintenance in I5.0

Published Papers (4 papers)

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Research

14 pages, 442 KiB  
Article
A Layered Middleware for OT/IT Convergence to Empower Industry 5.0 Applications
by Lorenzo Patera, Andrea Garbugli, Armir Bujari, Domenico Scotece and Antonio Corradi
Sensors 2022, 22(1), 190; https://0-doi-org.brum.beds.ac.uk/10.3390/s22010190 - 28 Dec 2021
Cited by 21 | Viewed by 3165
Abstract
We are still in the midst of Industry 4.0 (I4.0), with more manufacturing lines being labeled as smart thanks to the integration of advanced ICT in Cyber–Physical Systems (CPS). While I4.0 aims to provision cognitive CPS systems, the nascent Industry 5.0 (I5.0) era [...] Read more.
We are still in the midst of Industry 4.0 (I4.0), with more manufacturing lines being labeled as smart thanks to the integration of advanced ICT in Cyber–Physical Systems (CPS). While I4.0 aims to provision cognitive CPS systems, the nascent Industry 5.0 (I5.0) era goes a step beyond, aiming to build cross-border, sustainable, and circular value chains benefiting society as a whole. An enabler of this vision is the integration of data and AI in the industrial decision-making process, which does not exhibit yet a coordination between the Operation and Information Technology domains (OT/IT). This work proposes an architectural approach and an accompanying software prototype addressing the OT/IT convergence problem. The approach is based on a two-layered middleware solution, where each layer aims to better serve the specific differentiated requirements of the OT and IT layers. The proposal is validated in a real testbed, employing actual machine data, showing the capacity of the components to gracefully scale and serve increasing data volumes. Full article
(This article belongs to the Special Issue Next Generation IoT Applications in Smart Manufacturing and Industry 5.0)
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11 pages, 14631 KiB  
Article
Plant Factory: A New Playground of Industrial Communication and Computing
by Yu Liu, Sepehr Mousavi, Zhibo Pang, Zhongjun Ni, Magnus Karlsson and Shaofang Gong
Sensors 2022, 22(1), 147; https://0-doi-org.brum.beds.ac.uk/10.3390/s22010147 - 27 Dec 2021
Cited by 7 | Viewed by 4901
Abstract
Plant Factory is a newly emerging industry aiming at transforming crop production to an unprecedented model by leveraging industrial automation and informatics. However, today’s plant factory and vertical farming industry are still in a primitive phase, and existing industrial cyber-physical systems are not [...] Read more.
Plant Factory is a newly emerging industry aiming at transforming crop production to an unprecedented model by leveraging industrial automation and informatics. However, today’s plant factory and vertical farming industry are still in a primitive phase, and existing industrial cyber-physical systems are not optimal for a plant factory due to diverse application requirements on communication, computing and artificial intelligence. In this paper, we review use cases and requirements for future plant factories, and then dedicate an architecture that incorporates the communication and computing domains to plant factories with a preliminary proof-of-concept, which has been validated by both academic and industrial practices. We also call for a holistic co-design methodology that crosses the boundaries of communication, computing and artificial intelligence disciplines to guarantee the completeness of solution design and to speed up engineering implementation of plant factories and other industries sharing the same demands. Full article
(This article belongs to the Special Issue Next Generation IoT Applications in Smart Manufacturing and Industry 5.0)
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19 pages, 3146 KiB  
Article
How Mobility and Sociality Reshape the Context: A Decade of Experience in Mobile CrowdSensing
by Michele Girolami, Dimitri Belli, Stefano Chessa and Luca Foschini
Sensors 2021, 21(19), 6397; https://0-doi-org.brum.beds.ac.uk/10.3390/s21196397 - 25 Sep 2021
Cited by 4 | Viewed by 2262
Abstract
The possibility of understanding the dynamics of human mobility and sociality creates the opportunity to re-design the way data are collected by exploiting the crowd. We survey the last decade of experimentation and research in the field of mobile CrowdSensing, a paradigm centred [...] Read more.
The possibility of understanding the dynamics of human mobility and sociality creates the opportunity to re-design the way data are collected by exploiting the crowd. We survey the last decade of experimentation and research in the field of mobile CrowdSensing, a paradigm centred on users’ devices as the primary source for collecting data from urban areas. To this purpose, we report the methodologies aimed at building information about users’ mobility and sociality in the form of ties among users and communities of users. We present two methodologies to identify communities: spatial and co-location-based. We also discuss some perspectives about the future of mobile CrowdSensing and its impact on four investigation areas: contact tracing, edge-based MCS architectures, digitalization in Industry 5.0 and community detection algorithms. Full article
(This article belongs to the Special Issue Next Generation IoT Applications in Smart Manufacturing and Industry 5.0)
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14 pages, 2969 KiB  
Article
Methodology for Digital Transformation with Internet of Things and Cloud Computing: A Practical Guideline for Innovation in Small- and Medium-Sized Enterprises
by Yu Liu, Zhongjun Ni, Magnus Karlsson and Shaofang Gong
Sensors 2021, 21(16), 5355; https://0-doi-org.brum.beds.ac.uk/10.3390/s21165355 - 09 Aug 2021
Cited by 15 | Viewed by 6823
Abstract
Researches on the Internet of Things (IoT) and cloud computing have been pervasive in both the academic and industrial world. IoT and cloud computing are seen as cornerstones to digital transformation in the industry. However, restricted by limited resources and the lack of [...] Read more.
Researches on the Internet of Things (IoT) and cloud computing have been pervasive in both the academic and industrial world. IoT and cloud computing are seen as cornerstones to digital transformation in the industry. However, restricted by limited resources and the lack of expertise in information and communication technologies, small- and medium-sized enterprises (SMEs) have difficulty in achieving digitalization of their business. In this paper, we propose a reference framework for SMEs to follow as a guideline in the journey of digital transformation. The framework features a three-stage procedure that covers business, technology, and innovation, which can be iterated to drive product and business development. A case study about digital transformation taking place in the vertical plant wall industry is detailed. Furthermore, some solution design principles that are concluded from real industrial practice are presented. This paper reviews the digital transformation practice in the vertical plant wall industry and aims to accelerate the pace of SMEs in the journey of digital transformation. Full article
(This article belongs to the Special Issue Next Generation IoT Applications in Smart Manufacturing and Industry 5.0)
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