Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
6.8
3.3
Journals
Sustainability
Special Issues
Artificial Intelligence and Mobile Technologies for Sustainable Development of Smart...
sustainability-logo
Submit to Special Issue Submit Abstract to Special Issue Review for Sustainability Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

Artificial Intelligence and Mobile Technologies for Sustainable Development of Smart Regions

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

Deadline for manuscript submissions: 31 January 2026 | Viewed by 3339

Special Issue Editors

Prof. Dr. Vyacheslav Kharchenko

E-Mail Website
Guest Editor
Department of Computer Systems, Networks and Cybersecurity, National Aerospace University "Kharkiv Aviation Institute", Kharkiv, Ukraine
Interests: critical, green, and sustainable computing; big safety; dependable IoT and clouds; trustworthy AI assessment and assurance; UAV fleets as a service for smart cities
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Nikos Bardis

E-Mail Website
Guest Editor
Informatics & Computer Science Laboratory, Department of Mathematics and Engineering Sciences, Hellenic Army Academy, Vari, Greece
Interests: information theory; cyberwarfare; computer security and IT forensics; information systems; electrical energy and power measurement
Prof. Dr. Andrzej Rucinski

E-Mail Website1 Website2
Guest Editor
Electrical and Computer Engineering Department, University of New Hampshire, Durham, NH, USA
Interests: global trusted dependability; smart cities and ecosystems; wellness services and engineering; Homo digitus
Prof. Dr. Anatoliy Sachenko

E-Mail Website
Guest Editor
Department of Information Computer Systems and Control, Research Institute for Intelligent Computer Systems, West Ukrainian National University, 46020 Ternopil, Ukraine
Interests: artificial neural network applications; distributed sensor networks; computation intelligence for homeland security and safety; mobile systems and technologies
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Smart regions, which include smart cities, villages, and natural spaces, are an integrating concept that is a key component in the sustainable development of countries and a very important trend in the improvement of the modern world and the development of humans.

Smart cities and regions should ensure comfort and safety/security for its inhabitants and provide various services based on information and communication technologies, artificial intelligence, and mobile systems (e.g., UAV, robotics, and autonomous transport), among others.

This Special Issue aims to gain insights into the development of holistic methodologies and technologies for the sustainable development of smart cities and regions. We welcome articles that propose efficient ideas and solutions for smart ecosystems, as well as intelligent mobile information and communication technologies, targeted at the creation and implementation of safe and high-quality services for smart regions.

The Guest Editors invite you to submit original articles that provide the results of interesting and important research and developments, including but not limited to the following:

  • Sustainable and green information and communication technologies for smart cities and regions;
  • Human-centred smart region ecosystems for sustainable development;
  • Mathematical models and simulation methods for sustainability and sustainable development of smart regions;
  • Intelligent technologies and services for smart cities and regions;
  • AI quality (trustworthiness, explainability, resilience, ethics, etc.) for safe and sustainable ecosystems;
  • UAVs, UAV swarms, and UAV fleets as a service for smart regions;
  • Safety- and security-informed sustainability of smart regions;
  • Mobile and safe autonomous transport systems for smart cities and regions;
  • Smart technologies for wellness engineering and e-health.

Prof. Dr. Vyacheslav Kharchenko
Prof. Dr. Nikos Bardis
Prof. Dr. Andrzej Rucinski
Prof. Dr. Anatoliy Sachenko
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 and regions
  • ecosystems for sustainable development
  • artificial intelligence and AI systems
  • UAV as a service
  • mobile smart technologies
  • safety and security informed sustainability
  • wellness engineering

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (3 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

29 pages, 6546 KiB  
Article
Improving Unmanned Aerial Vehicle Security as a Factor in Sustainable Development of Smart City Infrastructure: Automatic Dependent Surveillance–Broadcast (ADS-B) Data Protection
by Serhii Semenov, Magdalena Krupska-Klimczak, Patryk Mazurek, Minjian Zhang and Olena Chernikh
Sustainability 2025, 17(4), 1553; https://doi.org/10.3390/su17041553 - 13 Feb 2025
Viewed by 722
Abstract
The rapid integration of Unmanned Aerial Vehicles (UAVs) into smart city infrastructures necessitates advanced security measures to ensure their safe and sustainable operation. However, existing Automatic Dependent Surveillance–Broadcast (ADS-B) systems are highly vulnerable to spoofing, data falsification, and cyber threats, which compromises air [...] Read more.
The rapid integration of Unmanned Aerial Vehicles (UAVs) into smart city infrastructures necessitates advanced security measures to ensure their safe and sustainable operation. However, existing Automatic Dependent Surveillance–Broadcast (ADS-B) systems are highly vulnerable to spoofing, data falsification, and cyber threats, which compromises air traffic management and poses significant challenges to UAV security. This paper presents an innovative approach to improving UAV security by introducing a novel steganographic method for ADS-B data protection. The proposed method leverages Fourier transformation to embed UAV identifiers into ADS-B signals, ensuring a high level of concealment and robustness against signal distortions. A key feature of the approach is the dynamic parameter management system, which adapts to varying transmission conditions to minimize distortions and enhance resilience. Experimental validation demonstrates that the method achieves a tenfold reduction in Mean Squared Error (MSE) and Normalized Mean Squared Error (NMSE) compared to existing techniques such as mp3stego while also improving the Signal-to-Noise Ratio (SNR) and Peak Signal-to-Noise Ratio (PSNR) compared to s-tools. The proposed solution ensures compliance with existing ADS-B standards, maintaining seamless integration with air traffic management systems while enhancing cybersecurity measures. By safeguarding UAV communications, the method contributes to the sustainable development of smart cities and supports critical applications such as logistics, environmental monitoring, and emergency response operations. These findings confirm the practical feasibility of the proposed approach and its potential to strengthen UAV security and ADS-B data protection, ultimately contributing to the resilience and sustainability of urban airspace infrastructure. Full article
(This article belongs to the Special Issue Artificial Intelligence and Mobile Technologies for Sustainable Development of Smart Regions)
►▼ Show Figures

Figure 1

21 pages, 861 KiB  
Article
Impact of Critical Infrastructure Cyber Security on the Sustainable Development of Smart Cities: Insights from Internal Specialists and External Information Security Auditors
by Iryna Leroy, Iryna Zolotaryova and Serhii Semenov
Sustainability 2025, 17(3), 1188; https://doi.org/10.3390/su17031188 - 1 Feb 2025
Viewed by 1213
Abstract
This study aims to describe and assess the impact of critical infrastructure (CI) cybersecurity issues on the sustainable development of smart cities. This study highlights the integration of PayTech systems into the broader CI landscape, highlighting their impact on maintaining economic stability and [...] Read more.
This study aims to describe and assess the impact of critical infrastructure (CI) cybersecurity issues on the sustainable development of smart cities. This study highlights the integration of PayTech systems into the broader CI landscape, highlighting their impact on maintaining economic stability and ensuring the smooth operation of city services. Key companies within smart regions, particularly those operating in the payment industries, are essential to maintaining the functionality of critical services. These companies facilitate the processing of services provided to citizens, enabling access to vital municipal services. As key players in the PayTech and online e-commerce sectors, they form a crucial part of modern critical infrastructure, operating within an ever-evolving digital environment. This study examines the recovery processes employed after cyberattacks, focusing on the differing perspectives of internal and external professionals. It identifies significant differences in the perceptions of recovery strategies among internal stakeholders, such as investor relations (IR) teams, reputation management (RM) experts, and Chief Information Security Officers (CISOs), who represent critical infrastructure companies. Additionally, it explores the roles of external auditors, who provide impartial emergency support and perform specialized recovery tasks. Importantly, this study underscores the current attitudes toward future information security strategies and their influence on the financial recovery and reputation of reliable companies following cyber incidents. This research contributes to the existing knowledge by shedding light on the perspectives of both a company’s internal and external specialists involved in the recovery process and cyber resilience strategies in critical infrastructure sectors. Full article
(This article belongs to the Special Issue Artificial Intelligence and Mobile Technologies for Sustainable Development of Smart Regions)
►▼ Show Figures

Figure 1

27 pages, 4448 KiB  
Article
Wavelet Transform Cluster Analysis of UAV Images for Sustainable Development of Smart Regions Due to Inspecting Transport Infrastructure
by Yanyan Zheng, Galina Shcherbakova, Bohdan Rusyn, Anatoliy Sachenko, Natalya Volkova, Ihor Kliushnikov and Svetlana Antoshchuk
Sustainability 2025, 17(3), 927; https://doi.org/10.3390/su17030927 - 23 Jan 2025
Viewed by 835
Abstract
Sustainable development of the Smart Cities and Smart Regions concept is impossible without the development of a modern transport infrastructure, which must be maintained in proper condition. Inspections are required to assess the condition of objects in the transport infrastructure (OTI). Moreover, the [...] Read more.
Sustainable development of the Smart Cities and Smart Regions concept is impossible without the development of a modern transport infrastructure, which must be maintained in proper condition. Inspections are required to assess the condition of objects in the transport infrastructure (OTI). Moreover, the efficiency of these inspections can be enhanced with unmanned aerial vehicles (UAVs), whose application areas are continuously expanding. When inspecting OTI (bridges, highways, etc.) the problem of improving the quality of image processing, and analysis of data collected by UAV, for example, is particularly relevant. The application of advanced methods for assessing the quantity of information and making decisions to reduce information uncertainty and redundancy for such systems is often complicated by the presence of noise there. To harmonize the characteristics of certain procedures in such conditions, authors propose conducting data processing using wavelet transform clustering in three main phases: determining the number of clusters, defining the coordinates of cluster centres, and assessing the quality and efficiency of clustering. We compared the efficiency and quality of existing clustering methods with one using wavelet transform. The research has shown that UAVs can be used for OTI inspecting; moreover, the clustering method with wavelet transform is characterised by an improved quality and efficiency of data processing. In addition, the quality assessment enables us to assess the degree of approximation of the clustering result to the ideal one. In addition, authors examined the specific challenges associated with planning UAV flights during inspections to obtain data that will enhance the accuracy of clustering and recognition. This is especially important for a comprehensive quantitative assessment of adaptation degree for image processing procedures to the tasks of inspecting OTI “Smart Cities/Regions” based on a pragmatic measure of informativeness. Full article
(This article belongs to the Special Issue Artificial Intelligence and Mobile Technologies for Sustainable Development of Smart Regions)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-3
Back to TopTop