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Metrology, Sensors and Instrumentation for Industry 4.0 and IoT

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

Deadline for manuscript submissions: 30 November 2024 | Viewed by 292

Special Issue Editors


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Guest Editor
Departmental Faculty of Engineering, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo 21, 00128, Rome, Italy
Interests: wearable sensors; sensors; physiological monitoring; algorithms for data processing including machine learning; applications of sensors in clinical, occupational, and sports fields
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Guest Editor
Department of Information Engineering, University of Brescia, 25126 Brescia, Italy
Interests: printed sensors; wearable sensors; metrological characterization of sensors for biomedical and industrial applications; signal processing for printed sensors and smart objects
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Information Engineering, University of Florence, Via di S. Marta 3, 50139, Florence, Italy
Interests: life cycle reliability; condition monitoring for fault diagnosis of electronics; data-driven prognostic and health management; instrumentation and measurement for reliability analysis
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Computer Systems and Bioinformatics Lab, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo 21, 00128 Roma, Italy
Interests: distributed systems; IoT; embedded systems design and firmware optimization; communication systems; DSP
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Fourth Industrial Revolution represents a fundamental change in the way we live, work, and relate to one another. It is a new chapter in human development, enabled by technological advances that are commensurate with those of the First, Second, and Third Industrial Revolutions. Moreover, these profound changes are possible due to recent developments in the field of metrology, sensors, and instrumentation. Currently, the monitoring and the control of remote physical phenomena require the development of new sensors, acquisition techniques, data analysis, new architecture for data acquisition systems, and so on.

This Special Issue aims to collect new papers dealing with a variety of topics, including innovations in localization technologies, smart manufacturing, the integration of physical and digital systems, real-time big data processing, the flexible management of automated production lines, and predictive maintenance. There will be a focus on non-invasive diagnostic techniques; status monitoring; fault detection; reliability assessments; sensors and technologies used to monitor human performance and physiological parameters, including early detection approaches, scalable solutions, and biomarkers; novel sensing solutions and performance assessment in medical applications, including wearable devices; flexible/soft and 3D-printed sensors; innovative manufacturing technologies for health monitoring, agriculture, and food safety; and applications of wired and wireless technologies in IoT, metrology, network optimization, and security.

The authors of papers presented at the 7th edition of IEEE Metrology for industry 4.0 and IoT related to sensors, signal acquisition, IoT, and monitoring devices are invited to submit extended versions of their work to this Special Issue for publication. Researchers who did not participate in the conference are also encouraged to submit papers.

Potential topics include but are not limited to the following:

  • Industrial sensors;
  • Virtual sensors and sensor interfacing;
  • IoT-enabled sensors and measurement systems;
  • Measurement applications based on IoT;
  • Industrial IoT, Factory of Things, and Internet of Things;
  • Wireless sensor networks and IoT;
  • Wearables and body sensor networks;
  • Sensor data management;
  • Localization technologies;
  • Reliability, sustainability, and safety issues of sensing and acquisition units;
  • Machine learning for sensor anomaly detection;
  • Sensor fusion and soft sensor using machine learning and deep learning;
  • Artificial Intelligence and sensor technology for edge computing.

Dr. Carlo Massaroni
Dr. Michela Borghetti
Dr. Gabriele Patrizi
Dr. Luca Vollero
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

  • Industry 4.0
  • Internet of Things
  • sensor networks
  • metrology
  • artificial intelligence
  • machine learning
  • sensing units

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Published Papers

This special issue is now open for submission.
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