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Special Issue "Edge Computing Architectures 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: 31 July 2021.

Special Issue Editors

Dr. Ricardo S. Alonso
Website
Guest Editor
BISITE Research Group, University of Salamanca, 37008 Salamanca, Spain
Interests: Internet of Things; Industry 4.0; edge computing; smart farming; software-defined networks; intelligent systems; wireless sensor networks; real-time locating systems
Special Issues and Collections in MDPI journals
Dr. Óscar García
Website
Guest Editor
BISITE Research Group, University of Salamanca, 37008 Salamanca, Spain
Interests: big data; Artificial Intelligence; IoT; Industry 4.0; energy efficiency
Special Issues and Collections in MDPI journals
Dr. Miguel A. Sánchez Vidales
Website
Guest Editor
International University of La Rioja, Spain
Interests: Internet of Things; Industry 4.0; Edge Computing; Mobile Computing, Multi-Agent Systems

Special Issue Information

Dear Colleagues,

It will soon be ten years since the term Industry 4.0 was first mentioned at the Hannover Fair in 2011. The fourth industrial revolution brings with it an ecosystem of enabling technologies such as cyberphysical systems, robotics, cybersecurity, big data analytics, Artificial Intelligence and predictive maintenance, additive manufacturing, and of course, the Industrial Internet of Things. Thanks to IIoT devices and platforms, all the elements involved in production processes are connected to each other and to the cloud, where they are represented by their digital twins. This makes it possible to characterize the different production processes in the industry’s value chain, extract value-added knowledge, and apply Big Data Analytics techniques in the cloud, including predictive and prescriptive maintenance, as well as detection of anomalous patterns using machine learning techniques. However, various challenges and limitations arise when sending data to the cloud, such as the high energy consumption of IoT devices or the challenges regarding the security and privacy of the data transferred. Furthermore, cloud service providers charge their costs according to the amount of data that are transferred, processed and stored in the cloud. Finally, in an architecture based solely on an IoT layer and a cloud layer, services may be interrupted if communication with the cloud is cut off. In this sense, Edge Computing architectures allow pre-processing and filtering of the data being transferred to the cloud, reducing costs, avoiding security problems, and allowing machine learning models to be run at the edge of the network with lower latency and higher service availability.

For this purpose, this Special Issue will be focused on but not limited to the following topics:

  • Innovative edge computing architectures;
  • Industrial Internet of Things and edge computing;
  • Machine learning at the edge in Industry 4.0 scenarios;
  • Edge computing and cyber-physical systems;
  • Internet of Robotic Things and edge computing;
  • Management of additive manufacturing at the edge;
  • Integration of operational technology in edge computing architectures;
  • Innovative frameworks for managing data security and privacy at the edge;
  • Novel applications of edge computing and IoT in Industry 4.0 scenarios: heavy and light industry, agro-industry, smart energy, healthcare, smart transportation, smart farming, smart logistics, etc.

Dr. Ricardo S. Alonso
Dr. Óscar García
Dr. Miguel A. Sánchez Vidales
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. 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 2200 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

  • Internet of Things
  • edge computing
  • Industry 4.0
  • cyber-physical systems
  • machine learning

Published Papers (1 paper)

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Research

Open AccessArticle
A Framework for Off-Line Operation of Smart and Traditional Devices of IoT Services
Sensors 2020, 20(21), 6012; https://doi.org/10.3390/s20216012 - 23 Oct 2020
Cited by 1
Abstract
Recently, with the continuous evolution of information technology, various products such as Building Information, Internet of Things (IoT), Big Data, Cloud Computing and Machine Learning have been developed and have created a lifestyle change. A smart Internet of Things (IoT) system is formed [...] Read more.
Recently, with the continuous evolution of information technology, various products such as Building Information, Internet of Things (IoT), Big Data, Cloud Computing and Machine Learning have been developed and have created a lifestyle change. A smart Internet of Things (IoT) system is formed by combining the communication capabilities of the internet with control, monitoring and identification services to integrate people, things and objects. However, in some IoT environments that have a weak signal, such as remote areas, warehouses or basements, the network may become unstable, meaning that the IoT system is unable to provide efficient services. This paper therefore presents a framework that ensures the reliability of IoT system services so that even if the IoT system cannot connect to the network, the system can provide the services offline. To avoid increasing the installation cost or replacing existing traditional devices with modern smart devices, this framework can also be used to control traditional devices. The system operation is convenient because users can operate all their smart and traditional devices under the IoT system through voice commands and/or a handheld microcontroller, thus reducing the manual operation of the user. The framework proposed in this paper can be applied to various smart scenarios, including smart warehouses, smart restaurants, smart homes, smart farms and smart factories, to improve people’s quality of life and convenience, and create a humane and comfortable smart living environment. Full article
(This article belongs to the Special Issue Edge Computing Architectures in Industry 4.0)
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