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Virtual and Augmented Sensing Techniques via Embedded ML Models for IoT Measurement Infrastructures

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

Deadline for manuscript submissions: 31 July 2024 | Viewed by 207

Special Issue Editors


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Guest Editor
Department of Information Engineering, University of Padova, 35131 Padova, Italy
Interests: Internet of Things; low power wide area networks; augmented and virtual sensing techniques; embedded ML; distributed measurement systems; wireless sensor networks
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Information Engineering, University of Padova, 35131 Padova, Italy
Interests: Internet of Things; low power wide area networks; augmented and virtual sensing techniques; embedded ML; distributed measurement systems; wireless sensor networks

Special Issue Information

Dear Colleagues,

In recent years, we have witnessed the exponential growth of virtual and augmented sensing techniques, and of embedded machine learning (ML) as well. Virtual sensing encompasses all those methods using to estimate parameters that cannot be directly measured due to the unavailability of dedicated sensors, or due to a general unfeasibility (e.g., logistical constraints, expensiveness of infrastructures, etc.). On the other hand, augmented sensing includes all those techniques in which the performance of standard sensors, or of standard measuring systems, are enhanced, thus obtaining finer results with reduced associated uncertainties (e.g., augmenting a cheap and coarse sensor, thus avoiding the use of an expensive alternative). Both approaches are usually implemented by resorting to ML, and artificial intelligence (AI) in general, models applied to the gathered data. When such a step is directly performed on the sensor node, the recent paradigm of embedded ML is encountered, which has proven to be valid despite the limit imposed by the hardware platforms using simple, yet effective, ML models; otherwise, it is remotely accomplished on data collection centers, thus enabling to develop more sophisticated ML/AI models. The application scenarios are countless, especially whenever Internet of Things (IoT) measurement infrastructures are exploited: from environmental monitoring to smart cities, distributed and pervasive measurement infrastructures in critical environments, and industrial monitoring, etc.

This Special Issue aims to collect original research and review articles on recent advances, technologies, solutions, applications, and new challenges in the field of virtual and augmented sensing techniques, as well as of embedded ML.

Potential topics include, but are not limited to, the following:

  • Virtual sensing;
  • Augmented sensing;
  • Embedded ML;
  • IoT measurement infrastructures;
  • Distributed and pervasive measurement systems;
  • Wireless sensor networks;
  • Environmental monitoring in a broad sense with virtual and augmented sensing.

Dr. Giacomo Peruzzi
Dr. Alessandro Pozzebon
Prof. Dr. Matteo Bertocco
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.

Published Papers

This special issue is now open for submission.
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