Special Issue "The Convergence of 5G and IoT in a Smart City Context"

A special issue of Smart Cities (ISSN 2624-6511). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: 30 September 2022 | Viewed by 2709

Special Issue Editors

Dr. Roberto Casado Vara
E-Mail Website
Guest Editor
BISITE research group, University of Salamanca, Edificio Multiusos I+D+i, C/ Espejo s/n, 37007 Salamanca, Spain
Interests: artificial intelligence; nonlinear control; stochastic systems; optimization; blockchain
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The emergence of the Internet of Things (IoT) ecosystem is slowly transforming different areas of human life, involving sectors such as transport, health, energy, and security. In recent years, several IoT deployments and test beds have been proposed to create new smart infrastructures. These infrastructures and applications enable cities not only to reduce costs and resource consumption but also to improve governance and the quality of life of resident citizens. The devices built into these smart infrastructures capture heterogeneous data of various types that differ in scale, volume, and semantics.

The construction of Smart Cities has become an important trend worldwide. In the past, telecommunication technologies were already crucial partners in terms of urban infrastructure. As IoT is becoming a basic means of communication in all cities, the role of telecommunication technologies in the development of Smart Cities cannot be emphasized enough. The technology of 5G mobile networks will gradually expand the implementation in Smart Cities and global business by 2020, in which IoT and Artificial Intelligence will also be integrated, contributing to a rapid development of Smart Cities. In response to such transformation, this Special Issue will be conducted—though not exclusively—under the following topics:

  • Novel architectures, protocols, and algorithms for end-to-end IoT and 5G systems to orchestrate Smart Cities;
  • 5G technology fusion, multimedia data fusion, and information fusion for Smart Cities;
  • Novel IoT and 5G communication platforms and access technologies;
  • Interoperability of IoT communication technologies through 5G;
  • Middleware technologies for IoT systems and applications and 5G;
  • Theoretical modeling and frameworks for IoT environments through 5G;
  • IoT and 5G applications and testbeds;
  • 5G virtualization for Smart Cities;
  • Dynamic network slicing based on IoT real-time data;
  • Sensing and aggregation of multimodal data in Smart Cities;
  • QoE/QoS in IoT multimedia services for Smarter Cities through 5G;
  • Case studies, real solutions, designs, and implementations of Smart Cities;
  • Security and privacy frameworks for IoT and 5G-based Smart Cities;
  • Innovative techniques for IoT communications security through 5G.

Dr. Javier Prieto
Dr. Roberto Casado Vara
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. Smart Cities is an international peer-reviewed open access quarterly 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 1200 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.


  • IoT
  • Smart Cities
  • virtualization
  • communication security
  • interoperability

Published Papers (1 paper)

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A Case Study Based Approach for Remote Fault Detection Using Multi-Level Machine Learning in A Smart Building
Smart Cities 2020, 3(2), 401-419; https://doi.org/10.3390/smartcities3020021 - 15 May 2020
Cited by 13 | Viewed by 1788
Due to the increased awareness of issues ranging from green initiatives, sustainability, and occupant well-being, buildings are becoming smarter, but with smart requirements come increasing complexity and monitoring, ultimately carried out by humans. Building heating ventilation and air-conditioning (HVAC) units are one of [...] Read more.
Due to the increased awareness of issues ranging from green initiatives, sustainability, and occupant well-being, buildings are becoming smarter, but with smart requirements come increasing complexity and monitoring, ultimately carried out by humans. Building heating ventilation and air-conditioning (HVAC) units are one of the major units that consume large percentages of a building’s energy, for example through their involvement in space heating and cooling, the greatest energy consumption in buildings. By monitoring such components effectively, the entire energy demand in buildings can be substantially decreased. Due to the complex nature of building management systems (BMS), many simultaneous anomalous behaviour warnings are not manageable in a timely manner; thus, many energy related problems are left unmanaged, which causes unnecessary energy wastage and deteriorates equipment’s lifespan. This study proposes a machine learning based multi-level automatic fault detection system (MLe-AFD) focusing on remote HVAC fan coil unit (FCU) behaviour analysis. The proposed method employs sequential two-stage clustering to identify the abnormal behaviour of FCU. The model’s performance is validated by implementing well-known statistical measures and further cross-validated via expert building engineering knowledge. The method was experimented on a commercial building based in central London, U.K., as a case study and allows remotely identifying three types of FCU faults appropriately and informing building management staff proactively when they occur; this way, the energy expenditure can be further optimized. Full article
(This article belongs to the Special Issue The Convergence of 5G and IoT in a Smart City Context)
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