Special Issue "Industrial Internet of Things (IIoTs) and Industry 4.0"

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Engineering and Science".

Deadline for manuscript submissions: 25 June 2022.

Special Issue Editors

Dr. Mohsin Raza
E-Mail Website
Guest Editor
Department of Computer Science, Edge Hill University, Ormskirk L39 4QP, UK
Interests: IoT; IIoT; wireless networks; Industry 4.0; digital twins; process optimization; ultra-reliable low latency communications (URLLC)
Special Issues and Collections in MDPI journals
Dr. Ghufran Ahmed
E-Mail Website
Guest Editor
Department of Computer Science, FAST-NUCES, Karachi 44000, Pakistan
Interests: IoT; wireless networks; data routing; energy efficiency; Industry 4.0; cyberphysical systems
Dr. Muhammad Awais
E-Mail Website
Guest Editor
Department of Computer Science, Faculty of Applied Sciences (FAS), Edge Hill University, Ormskirk L39 4QP, UK
Interests: digital health; artificial intelligence; applied machine learning; data analytics; biomedical signal processing; Internet of Things (IoT); Industry 4.0
Special Issues and Collections in MDPI journals
Prof. Dr. Jawad Ahmad
E-Mail Website
Guest Editor
Department of Computing, Edinburgh Napier University, EH11 4BN Edinburgh, UK
Interests: cybersecurity for wireless sensing; privacy preserved healthcare solutions; cybersecurity in wireless communication; chaos theory and its application for securing wireless systems; multimedia encryption and privacy preserved machine learning
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

In the last decade, industries have experienced significant transformation from manual processes to automated process handling and control through the inclusion of information and communication technology (ICT). Emerging technologies such as the Industrial Internet of Things (IIoT), artificial intelligence, big data analytics, smart manufacturing, digital twins, cognitive intelligence, and cyberphysical systems have played a significant role in the realization of Industry 4.0. Industry 4.0, through its integrated ICT technologies, has the potential to enable manufacturers and the supply chain to save time, boost productivity, reduce waste and costs, and respond flexibly and efficiently to consumers’ requirements.

Industry 4.0 is not only about digitalization of manufacturing components and processes, but also about creating smart factories for evolution in supply chain and the production line. Such smart factories significantly rely on the IIoT. The IIoT enables the interconnection of smart heterogeneous objects (e.g., sensor actuators, RFID tags, embedded computers, and mobile devices) using standard communication protocols, and Big Data captured from the interconnected IoT-based objects, and real-time analysis. The IIoT can improve interconnectivity, flexibility, scalability, time efficiency, cost effectiveness, security, productivity, and operational efficiency in the industries where the IoT serves as a base platform to establish an intelligent network of devices which can interrelate data and processes to effectively establish feedback control systems within the context of industrial automation. The IIoT also plays a significant role in the realization of cyberphysical systems and digital twins in Industry 4.0.

With the rapid advancements in the domain, it is vital to disseminate knowledge among the research community and stakeholders to adapt to new trends and advancements, to highlight the challenges experienced in industry in order to excel further in Industry 4.0. Therefore, we invite colleagues in the research community to disseminate their novel contributions in the domain of Industry 4.0, with a special focus on but not limited to:

  • Developing and building new models and architectures for the IoT;
  • Decision support systems for IIoT-enabled Industry 4.0
  • Digital twin modeling for Industry 4.0
  • IIoT for emergency systems;
  • Cloud-based solutions for IIoT;
  • AI-empowered innovative solutions for Industry 4.0;
  • Ultra-reliable low latency communications (URLLC) in the IIoT;
  • Data mining techniques for IIoT-enabled Industry 4.0;
  • Machine-learning-based smart IIoT solutions;
  • IIoT for regulatory and supervisory control systems;
  • Energy harvesting and energy budgeting in the IIoT;
  • Data routing in Industry 4.0;
  • Smart IIoT solutions;
  • Cyberphysical systems;
  • Big data analytics and process optimization in Industry 4.0;
  • IT tools and data analytics for Industry 4.0;
  • Cutting-edge technologies in Industry 4.0;
  • Performance, scalability, and reliability in the IIoT;
  • Machine learning techniques for developing new frameworks and models;
  • Deep learning for predictive modeling and realization of cyberphysical systems and digital twins;
  • Data security and privacy aspects in the IIoT;
  • Standard, platforms, testbed, and validation for the IIoT.

Dr. Mohsin Raza
Dr. Ghufran Ahmed
Dr. Muhammad Awais
Dr. Jawad Ahmad
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 papers will be 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. Sustainability 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 1900 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

  • Industrial Internet of Things (IIoT)
  • Industry 4.0
  • artificial intelligence
  • deep learning
  • machine learning
  • big data analytics
  • digital twins
  • decision support systems
  • cyberphysical systems
  • data security in Industry 4.0
  • ultra-reliable low latency communications

Published Papers (5 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

Article
Extending ONTAgri with Service-Oriented Architecture towards Precision Farming Application
Sustainability 2021, 13(17), 9801; https://doi.org/10.3390/su13179801 - 31 Aug 2021
Viewed by 573
Abstract
The computer science perspective of ontology refers to ontology as a technology, however, with a different perspective in terms of interrogations and concentrations to construct engineering models of reality. Agriculture-centered architectures are among rich sources of knowledge that are developed, preserved, and released [...] Read more.
The computer science perspective of ontology refers to ontology as a technology, however, with a different perspective in terms of interrogations and concentrations to construct engineering models of reality. Agriculture-centered architectures are among rich sources of knowledge that are developed, preserved, and released for farmers and agro professionals. Many researchers have developed different variants of existing ontology-based information systems. These systems are primarily picked agriculture-related ontological strategies based on activities such as crops, weeds, implantation, irrigation, and planting, to name a few. By considering the limitations on agricultural resources in the ONTAgri scenario, in this paper, an extension of ontology is proposed. The extended ONTAgri is a service-oriented architecture that connects precision farming with both local and global decision-making methods. These decision-making methods are connected with the Internet of Things systems in parallel for the input processing of system ontology. The proposed architecture fulfills the requirements of Agriculture 4.0. The significance of the proposed approach aiming to solve a multitude of agricultural problems being faced by the farmers is successfully demonstrated through SPARQL queries. Full article
(This article belongs to the Special Issue Industrial Internet of Things (IIoTs) and Industry 4.0)
Show Figures

Figure 1

Article
Identifying the Antecedents of University Students’ Usage Behaviour of Fitness Apps
Sustainability 2021, 13(16), 9043; https://doi.org/10.3390/su13169043 - 12 Aug 2021
Viewed by 489
Abstract
The purpose of the study is to explore the antecedents of university students’ fitness application usage behaviours by combining the theory of planned behaviour and the technology acceptance model. An anonymous questionnaire survey was adopted to address the objectives of the study. Purposive [...] Read more.
The purpose of the study is to explore the antecedents of university students’ fitness application usage behaviours by combining the theory of planned behaviour and the technology acceptance model. An anonymous questionnaire survey was adopted to address the objectives of the study. Purposive and snowball sampling was used to select eligible students from six universities in Zhanjiang City. An online survey was used to collect data from 634 eligible subjects, and partial least squares structural equation modelling was used to analyse the collected data. The results indicated that the students’ perceived usefulness (β = 0.17, p < 0.05) and perceived ease of use (β = 0.32, p < 0.05) concerning the application and their attitude (β = 0.31, p < 0.05) toward it significantly influenced their usage intentions. Furthermore, perceived usefulness (β = 0.11, p < 0.05) and perceived ease of use (β = 0.38, p < 0.05) fully mediated the relationship between subjective norms and usage intentions. However, subjective norms and perceived behavioural control did not enhance the students’ intentions to use fitness applications. That is, students’ attitudes and fitness application design are the determinants of usage intention. Accordingly, improving students’ fitness applications usage intention requires strategies that involve customised services, social networking, and collaboration with schools; this would further increase students’ engagement in physical exercise. Full article
(This article belongs to the Special Issue Industrial Internet of Things (IIoTs) and Industry 4.0)
Show Figures

Figure 1

Article
Water Quality Monitoring and Management of Building Water Tank Using Industrial Internet of Things
Sustainability 2021, 13(15), 8452; https://doi.org/10.3390/su13158452 - 28 Jul 2021
Viewed by 548
Abstract
Water being one of the foremost needs for human survival, conservation, and management of the resource must be given ultimate significance. Water demand has increased tremendously all over the world from the past decade due to urbanization, climatic change, and ineffective management of [...] Read more.
Water being one of the foremost needs for human survival, conservation, and management of the resource must be given ultimate significance. Water demand has increased tremendously all over the world from the past decade due to urbanization, climatic change, and ineffective management of water. The advancement in sensor and wireless communication technology encourages implementing the IoT in a wide range. In this study, an IoT-based architecture is proposed and implemented for monitoring the level and quality of water in a domestic water tank with customized hardware based on 2.4 GHz radiofrequency (RF) communication. Moreover, the ESP 8266 Wi-Fi module-based upper tank monitoring of the proposed architecture encourages provide real-time information about the tank through internet protocol (IP). The customized hardware is designed and evaluated in the Proteus simulation environment. The calibration of the pH sensor and ultrasonic value is carried out for setting the actual value in the prototype for obtaining the error-free value. The customized hardware that is developed for monitoring the level and quality of water is implemented. The real-time visualization and monitoring of the water tank are realized with the cloud-enabled Virtuino app. Full article
(This article belongs to the Special Issue Industrial Internet of Things (IIoTs) and Industry 4.0)
Show Figures

Figure 1

Article
A Framework for Industry 4.0 Readiness and Maturity of Smart Manufacturing Enterprises: A Case Study
Sustainability 2021, 13(12), 6659; https://doi.org/10.3390/su13126659 - 11 Jun 2021
Viewed by 732
Abstract
Recently, researchers have proposed various maturity models (MMs) for assessing Industry 4.0 (I4.0) adoption; however, few have proposed a readiness framework (F/W) integrated with technology forecasting (TF) to evaluate the growth of I4.0 adoption and consequently provide a roadmap for the implementation of [...] Read more.
Recently, researchers have proposed various maturity models (MMs) for assessing Industry 4.0 (I4.0) adoption; however, few have proposed a readiness framework (F/W) integrated with technology forecasting (TF) to evaluate the growth of I4.0 adoption and consequently provide a roadmap for the implementation of I4.0 for smart manufacturing enterprises. The aims of this study were (1) to review the research related to existing I4.0 MMs and F/Ws; (2) to propose a modular MM with four dimensions, five levels, 60 second-level dimensions, and 246 sub-dimensions, and a generic F/W with four layers and seven hierarchy levels; and (3) to conduct a survey-based case study of an automobile parts manufacturing enterprise by applying the MM and F/W to assess the I4.0 adoption level and TF model to anticipate the growth of I4.0. MM and F/W integrated with TF provides insight into the current situation and growth of the enterprise regarding I4.0 adoption, by identifying the gap areas, and provide a foundation for I4.0 integration. Case study findings show that the enterprise’s overall maturity score is 2.73 out of 5.00, and the forecasted year of full integration of I4.0 is between 2031 and 2034 depending upon the policy decisions. Full article
(This article belongs to the Special Issue Industrial Internet of Things (IIoTs) and Industry 4.0)
Show Figures

Figure 1

Article
Digital Certificate Verification Scheme for Smart Grid using Fog Computing (FONICA)
Sustainability 2021, 13(5), 2549; https://doi.org/10.3390/su13052549 - 26 Feb 2021
Viewed by 606
Abstract
Smart Grid (SG) infrastructure is an energy network connected with computer networks for communication over the internet and intranets. The revolution of SGs has also introduced new avenues of security threats. Although Digital Certificates provide countermeasures, however, one of the issues that exist, [...] Read more.
Smart Grid (SG) infrastructure is an energy network connected with computer networks for communication over the internet and intranets. The revolution of SGs has also introduced new avenues of security threats. Although Digital Certificates provide countermeasures, however, one of the issues that exist, is how to efficiently distribute certificate revocation information among Edge devices. The conventional mechanisms, including certificate revocation list (CRL) and online certificate status protocol (OCSP), are subjected to some limitations in energy efficient environments like SG infrastructure. To address the aforementioned challenges, this paper proposes a scheme incorporating the advantages and strengths of the fog computing. The fog node can be used for this purpose with much better resources closer to the edge. Keeping the resources closer to the edge strengthen the security aspect of smart grid networks. Similarly, a fog node can act as an intermediate Certification Authority (CA) (i.e., Fog Node as an Intermediate Certification Authority (FONICA)). Further, the proposed scheme has reduced storage, communication, processing overhead, and latency for certificate verification at edge devices. Furthermore, the proposed scheme reduces the attack surface, even if the attacker becomes a part of the network. Full article
(This article belongs to the Special Issue Industrial Internet of Things (IIoTs) and Industry 4.0)
Show Figures

Figure 1

Back to TopTop