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The IoT Technology for Sustainable Smart Cities of the Future

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Urban and Rural Development".

Deadline for manuscript submissions: closed (31 May 2023) | Viewed by 3192

Special Issue Editors


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Guest Editor
Department of Computer Science and Engineering, Chungnam National University, Daejeon 34134, Korea
Interests: IoT; wireless/mobile networks; networks for AI; AI for networks
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Computer Science and Engineering, Chungnam National University, Daejeon 34134, Korea
Interests: IoT/embedded device security; Trusted computing; Mobile forensics Twitter account

Special Issue Information

Dear Colleagues,

Recent advancements in the state-of-the-art technologies for smart cities have enabled IT-based infrastructure that can support civilians where required, as well as efficiently manage diverse components. They include the collection of diverse sensor data and the monitoring and management of community services. Specifically, in the aspects of sustainability, systems for smart cites should meet requirements such as real-time processing, high reliability, high fault tolerance, high security and privacy, and high quality of service.

This Special Issue solicits the submission of high-quality unpublished review and research articles that aim at addressing technical issues and challenges associated with IoT technology for sustainable smart cities of the future. Submitted papers should emphasize the development of IoT technology and focus on the performance evaluation and comparison using existing standards and practices. Both theoretical and experimental studies on practical applications are encouraged. We welcome all researchers to consider technological advances in IoT and the integration of interdisciplinary engineering/science technologies, and further, to contribute to sustainable growth.

Topics could include, but are not limited to:

  • Sustainable IoT technology for smart cities;
  • Machine and deep learning algorithms in smart cities;
  • Security and privacy in smart grids;
  • Data analytics and data-driven applications for sustainability in smart cities;
  • Challenges of innovation and technology management for smart cities;
  • Sustainable methodologies, models, and information systems for technology commercialization;
  • Smart cities services and applications;
  • Any subjects relevant to sustainability in IoT technology innovation management.

Prof. Dr. Ki-Il Kim
Prof. Dr. Jinsoo Jang
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. Sustainability 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 2400 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

  • Smart cities
  • IoT
  • sustainability
  • security
  • applications

Published Papers (1 paper)

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Research

30 pages, 5306 KiB  
Article
Intelligent Retrofitting Paradigm for Conventional Machines towards the Digital Triplet Hierarchy
by Hassan Alimam, Giovanni Mazzuto, Marco Ortenzi, Filippo Emanuele Ciarapica and Maurizio Bevilacqua
Sustainability 2023, 15(2), 1441; https://doi.org/10.3390/su15021441 - 12 Jan 2023
Cited by 5 | Viewed by 2395
Abstract
Industry 4.0 is evolving through technological advancements, leveraging information technology to enhance industry with digitalisation and intelligent activities. Whereas Industry 5.0 is the Age of Augmentation, striving to concentrate on human-centricity, sustainability, and resilience of the intelligent factories and synergetic industry. The crucial [...] Read more.
Industry 4.0 is evolving through technological advancements, leveraging information technology to enhance industry with digitalisation and intelligent activities. Whereas Industry 5.0 is the Age of Augmentation, striving to concentrate on human-centricity, sustainability, and resilience of the intelligent factories and synergetic industry. The crucial enhancer for the improvements accomplished by digital transformation is the notion of ‘digital triplet D3’, which is an augmentation of the digital twin with artificial intelligence, human ingenuity, and experience. digital triplet D3 encompasses intelligent activities based on human awareness and the convergence among cyberspace, physical space, and humans, in which Implementing useful reference hierarchy is a crucial part of instigating Industry 5.0 into a reality. This paper depicts a digital triplet which discloses the potency of retrofitting a conventional drilling machine. This hierarchy included the perceptive level for complex decision-making by deploying machine learning based on human ingenuity and creativity, the concatenated level for controlling the physical system’s behaviour predictions and emulation, the observing level is the iterative observation of the actual behaviour of the physical system using real-time data, and the duplicating level visualises and emulates virtual features through physical tasks. The accomplishment demonstrated the viability of the hierarchy in imitating the real-time functionality of the physical system in cyberspace, an immaculate performance of this paradigm. The digital triplet’s complexity was diminished through the interaction among facile digital twins, intelligent activities, and human awareness. The performance parameters of the digital triplet D3 paradigm for retrofitting were eventually confirmed through appraising, anomaly analysis, and real-time monitoring. Full article
(This article belongs to the Special Issue The IoT Technology for Sustainable Smart Cities of the Future)
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