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Intelligent Digital Twin-Based IoT Applications: From Industry to Natural Environment

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

Deadline for manuscript submissions: closed (30 November 2023) | Viewed by 475

Special Issue Editors

CRAN Laboratory, Université de Lorraine, CNRS, UMR 7039, Campus Sciences, BP 70239, F-54000 Nancy, France
Interests: wireless networks; IoT; machine learning; digital twins
School of Built Environment, Engineering and Computing, Leeds Beckett University, Leeds LS6 3QS, UK
Interests: machine learning; intelligent agents; cloud and edge intelligence; IoT; smart buildings; smart manufacturing; qualitative reasoning
Special Issues, Collections and Topics in MDPI journals
Faculté des Sciences et Technologies, University of Lorraine, Vandoeuvre Les Nancy, France
Interests: networks; green IT/neworking; industrial networks
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Internet of Things (IoT) is experiencing rapid growth in various fields and is constantly evolving, with a global forecast of more than 125 billion connected objects by 2030. Meanwhile, thanks to recent advances in GPU technology and cloud computing, machine learning (ML) has returned to the forefront as a solution to various complex and challenging problems.

The rapid development of the IoT and ML, along with big data analytics, has also prompted the re-emergence of digital twining. In particular, the IoT enables consistency and synchronization of a digital twin with its physical counterpart due to advanced sensing technology and real-time communication capabilities. Big data collection, together with ML algorithms, supports data-driven modeling to help reduce the gaps between twins, thus optimizing the functioning of the physical twin and supporting reliable decision-making and anomaly detection.

In light of the new opportunities offered by the digital twin paradigm, we invite researchers to submit original research and review articles on the theories and practice of diverse intelligent digital twin-based IoT applications.

Topics of interest include, but are not limited to:

  • Intelligent digital twin architecture;
  • Intelligent digital twin applications;
  • Digital twin models (ML, data-driven, formal, semantic, etc.) for IoT applications;
  • Network digital twins (digital twins for networks);
  • Digital twin networks (networks of digital twins);
  • Big data analytics and machine learning for digital twins;
  • Digital twins for the Industrial IoT and Industry 4.0;
  • Digital twins for smart cities;
  • Digital twins for smart grids;
  • Digital twins for smart agriculture;
  • Digital twins for smart manufacturing;
  • Digital twins for smart health;
  • Digital twins for smart logistics;
  • Digital twins for intelligent disaster prevention and management;
  • Digital twins for natural environment surveillance;
  • Digital twins for social applications.

Dr. Moufida Maimour
Prof. Dr. Ah-Lian Kor
Prof. Dr. Eric Rondeau
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

There is no accepted submissions to this special issue at this moment.
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