sensors-logo

Journal Browser

Journal Browser

Intelligent Industrial Internet of Things: From Theory to Real-World Applications

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

Deadline for manuscript submissions: 20 June 2024 | Viewed by 1646

Special Issue Editors


E-Mail Website
Guest Editor

E-Mail Website
Guest Editor
Computer Engineering Department of the La Salle, Universitat Ramon Llull, 08022 Barcelona, Spain
Interests: web of things; internet of things; cloud computing; semantic web; mental health
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Computer Engineering Department of the La Salle, Universitat Ramon Llull, 08022 Barcelona, Spain
Interests: internet technologies; smart grids; ubiquitous sensor networks; internet of things communications
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Computer Engineering Department of the La Salle, Universitat Ramon Llull, 08022 Barcelona, Spain
Interests: internet of things; digital transformation; cybersecurity
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Computer Engineering Department of the La Salle, Universitat Ramon Llull, 08022 Barcelona, Spain
Interests: acoustic event detection; machine learning; deep learning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Intelligent Industrial Internet of Things (IoT) has enabled industrial sectors to successfully integrate machinery, devices, and sensors with digital systems, networks, and data-driven applications. In fact, the number of use-cases that take advantage of the Intelligent Industrial IoT and its supporting technological pillars (e.g., low-power sensing and perception, data-driven applications, artificial intelligence, cybersecurity, and communication networks) has drastically increased in recent years. However, this rapid growth has created a noticeable asymmetry between industry and academia. Thus, it has become apparent that there is a mismatch between what is taught and researched in academic settings versus what it is actually being utilized and required in industry.

This Special Issue's main objective is to bridge this gap and (r)establish the connection and symmetry between academic teachings and industrial needs in the realm of Intelligent Industrial IoT by showcasing theory, innovative applications/use-cases, and prospective developments from both an academic and industrial perspective. We invite innovative and original research contributions to cover all aspects of the development and application of the following and related topics, including but not limited to:

  • Training methods for Intelligent IoT;
  • Artificial intelligence in IoT;
  • IoT for intelligent acoustic monitoring;
  • Computing on the edge;
  • On-device signal processing;
  • Cybersecure IoT domains;
  • IoT for naturalized environments (nature-based solutions);
  • Industrial challenges for the IoT;
  • Quantum networks for IoT domains;
  • Data-driven applications for IoT;
  • Intelligent Industrial IoT for health;
  • Web of Things and Intelligent Industrial Internet of Things;

Dr. Joan Navarro
Dr. Víctor Caballero
Prof. Dr. Agustín Zaballos
Dr. Alan Briones
Dr. Ester Vidaña
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

  • intelligent industrial IoT training
  • artificial intelligence
  • edge computing
  • IoT innovative applications
  • IoT technologies

Published Papers (1 paper)

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

Research

15 pages, 4736 KiB  
Article
Performance Analysis of Embedded Multilayer Perceptron Artificial Neural Networks on Smart Cyber-Physical Systems for IoT Environments
by Mayra A. Torres-Hernández, Miguel H. Escobedo-Barajas, Héctor A. Guerrero-Osuna, Teodoro Ibarra-Pérez, Luis O. Solís-Sánchez and Ma del R. Martínez-Blanco
Sensors 2023, 23(15), 6935; https://doi.org/10.3390/s23156935 - 04 Aug 2023
Viewed by 1316
Abstract
At present, modern society is experiencing a significant transformation. Thanks to the digitization of society and manufacturing, mainly because of a combination of technologies, such as the Internet of Things, cloud computing, machine learning, smart cyber-physical systems, etc., which are making the smart [...] Read more.
At present, modern society is experiencing a significant transformation. Thanks to the digitization of society and manufacturing, mainly because of a combination of technologies, such as the Internet of Things, cloud computing, machine learning, smart cyber-physical systems, etc., which are making the smart factory and Industry 4.0 a reality. Currently, most of the intelligence of smart cyber-physical systems is implemented in software. For this reason, in this work, we focused on the artificial intelligence software design of this technology, one of the most complex and critical. This research aimed to study and compare the performance of a multilayer perceptron artificial neural network designed for solving the problem of character recognition in three implementation technologies: personal computers, cloud computing environments, and smart cyber-physical systems. After training and testing the multilayer perceptron, training time and accuracy tests showed each technology has particular characteristics and performance. Nevertheless, the three technologies have a similar performance of 97% accuracy, despite a difference in the training time. The results show that the artificial intelligence embedded in fog technology is a promising alternative for developing smart cyber-physical systems. Full article
Show Figures

Figure 1

Back to TopTop