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Electronics
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IoT in the Industry Revolution 4.0
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IoT in the Industry Revolution 4.0

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: 30 June 2024 | Viewed by 5409

Special Issue Editors

Dr. Imed Ben Dhaou

E-Mail Website
Guest Editor
Department of Computing, University of Turku, 20500 Turku, Finland
Interests: VLSI; computer security; embedded systems for IoT; low-power design; approximate computing; DC microgrid; blockchain technology
Special Issues, Collections and Topics in MDPI journals
Dr. Mueen Uddin

E-Mail Website
Guest Editor
College of Computing and IT, University of Doha for Science and Technology, Doha 122104, Qatar
Interests: AI-enabled cybersecurity; blockchain solutions for IoT-enabled healthcare; IoT integration in the cloud
Dr. Moez Krichen

E-Mail Website
Guest Editor
FCSIT, Al-Baha University, Al-Baha 65528, Saudi Arabia
Interests: formal verification; drone model checking; IoT; machine learning; deep learning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Rapid advances in information and communication technologies, paired with advances in silicon technology, have allowed the fourth industrial revolution, frequently known as Industry 4.0. Digital transformations in the industry are the key factor of the fourth industrial revolution. Robotics, edge/fog computing, machine learning, cyber security, and digital twins are all important facilitators of digital transformation. Among other things, Industry 4.0 aspires to reduce the carbon impact, decrease production costs, reduce manual labor, and safeguard the workplace. This Special Issue focuses on the latest technologies and algorithms for bringing Industry 4.0 to life. This Special Issue covers, but is not limited to, the following topics:

  • Industrial Internet of Things;
  • Smart sensors;
  • Industrial control systems;
  • Cloud edge, and fog computing for Industry 4.0;
  • AI-enabled cybersecurity;
  • Internet of Drones and autonomous logistics;
  • Predictive maintenance;
  • Energy management for Industry 4.0;
  • Design and verification of digital twins for Industry 4.0;
  • IoMT in Industry 4.0;
  • Blockchain-enabled IoMT solution in healthcare;
  • AI and big data analytics in Industry 4.0;
  • Industrial 4.0 application and solutions;
  • Formal methods in Industry 4.0;
  • Model-based techniques in Industry 4.0;
  • Security management for Industry 4.0 applications;
  • Validation and verification for Industry 4.0 applications;
  • TTCN3 in Industry 4.0.

Dr. Imed Ben Dhaou
Dr. Mueen Uddin
Dr. Moez Krichen
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. Electronics 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 2400 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
  • Industry 4.0
  • cybersecurity
  • smart factor
  • drones

Published Papers (3 papers)

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Research

16 pages, 10998 KiB  
Article
Easy Development of Industry 4.0 Remote Labs
by Carlos Rejón, Sergio Martin and Antonio Robles-Gómez
Electronics 2024, 13(8), 1508; https://doi.org/10.3390/electronics13081508 - 16 Apr 2024
Viewed by 380
Abstract
Acquiring hands-on skills is nowadays key for engineers in the context of Industry 4.0. However, it is not always possible to achieve this in person. Therefore, it is essential to be able to conduct skill acquisition from a remote location. To support the [...] Read more.
Acquiring hands-on skills is nowadays key for engineers in the context of Industry 4.0. However, it is not always possible to achieve this in person. Therefore, it is essential to be able to conduct skill acquisition from a remote location. To support the development of remote labs for experimentation, this work proposes the development of an open Industry 4.0 remote platform that can be easily configured and scaled to develop new remote labs for IoT (Internet of Things), cybersecurity, perception systems, robotics, AI (artificial intelligence), etc. Over time, these capabilities will enable the development of sustainable Industry 4.0 remote labs. These labs will coexist on the same Industry 4.0 platform, as our proposed Industry 4.0 remote platform is capable of connecting multiple heterogeneous types of devices for remote programming. In this way, it is possible to easily design open remote labs for the digital transition to Industry 4.0 in a standardized way, which is the main research goal of our In4Labs project. Several users already conducted a series of IoT experiments on our remote Industry 4.0 platform, providing useful recommendations to be included in future versions of the platform. Full article
(This article belongs to the Special Issue IoT in the Industry Revolution 4.0)
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26 pages, 4455 KiB  
Article
A Blockchain-Centric IoT Architecture for Effective Smart Contract-Based Management of IoT Data Communications
by Abdulsalam S. Albulayhi and Ibrahim S. Alsukayti
Electronics 2023, 12(12), 2564; https://doi.org/10.3390/electronics12122564 - 06 Jun 2023
Cited by 4 | Viewed by 2121
Abstract
The exponential growth of the Internet of Things (IoT) is being witnessed nowadays in different sectors. This makes IoT data communications more complex and harder to manage. Addressing such a challenge using a centralized model is an ineffective approach and would result in [...] Read more.
The exponential growth of the Internet of Things (IoT) is being witnessed nowadays in different sectors. This makes IoT data communications more complex and harder to manage. Addressing such a challenge using a centralized model is an ineffective approach and would result in security and privacy difficulties. Technologies such as blockchain provide a potential solution to enable secure and effective management of IoT data communication in a distributed and trustless manner. In this paper, a novel lightweight blockchain-centric IoT architecture is proposed to address effective IoT data communication management. It is based on an event-driven smart contract that enables manageable and trustless IoT data exchange using a simple publish/subscribe model. To maintain system complexity and overhead at a minimum, the design of the proposed system relies on a single smart contract. All the system operations that enable effective IoT data communication among the different parties of the system are defined in the smart contract. There is no direct blockchain–IoT-device interaction, making the system more useable in wide IoT deployments incorporating IoT devices with limited computing and energy resources. A practical Ethereum-based implementation of the system was developed with the ability to simulate different IoT setups. The evaluation results demonstrated the feasibility and effectiveness of the proposed architecture. Considering varying-scale and varying-density experimental setups, reliable and secure data communications were achieved with little latency and resource consumption. Full article
(This article belongs to the Special Issue IoT in the Industry Revolution 4.0)
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19 pages, 3496 KiB  
Article
Cryptographic Encryption and Optimization for Internet of Things Based Medical Image Security
by Jeeva Selvaraj, Wen-Cheng Lai, Balasubramanian Prabhu Kavin, Kavitha C. and Gan Hong Seng
Electronics 2023, 12(7), 1636; https://doi.org/10.3390/electronics12071636 - 30 Mar 2023
Cited by 2 | Viewed by 1855
Abstract
The expansion of the Internet of Things is expected to lead to the emergence of the Internet of Medical Things (IoMT), which will revolutionize the health-care industry (IoT). The Internet of Things (IoT) revolution is outpacing current human services thanks to its bright [...] Read more.
The expansion of the Internet of Things is expected to lead to the emergence of the Internet of Medical Things (IoMT), which will revolutionize the health-care industry (IoT). The Internet of Things (IoT) revolution is outpacing current human services thanks to its bright mechanical, economical, and social future. Security is essential because most patient information is housed on a cloud platform in the hospital. The security of medical images in the Internet of Things was investigated in this research using a new cryptographic model and optimization approaches. For the effective storage and safe transfer of patient data along with medical images, a separate framework is required. The key management and optimization will be chosen utilizing the Rivest–Shamir–Adleman-based Arnold map (RSA-AM), hostile orchestration (HO), and obstruction bloom breeding optimization (OBBO) to increase the encryption and decryption processes’ level of security. The effectiveness of the suggested strategy is measured using peak signal-to-noise ratio (PSNR), entropy, mean square error (MSE), bit error rate (BER), structural similarity index (SSI), and correlation coefficient (CC). The investigation shows that the recommended approach provides greater security than other current systems. Full article
(This article belongs to the Special Issue IoT in the Industry Revolution 4.0)
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