Smart Cities of the Future: Harnessing the Power of IoT, Blockchain, Machine Learning, and Digital Twin Technologies
A special issue of Smart Cities (ISSN 2624-6511).
Deadline for manuscript submissions: closed (1 July 2024) | Viewed by 14664
Special Issue Editors
Interests: Internet of Things; machine learning; WBAN; blockchain; microgrid; indoor localization; task orchestration
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; NLP; knowledge discovery; data mining; blockchain
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue aims to explore the transformative potential of integrating IoT, blockchain, machine learning, and digital twin technologies, along with supply chain, hydrogen fuel, renewable energies, energy management, and indoor navigation, in the development and operation of smart cities. The convergence of these cutting-edge technologies holds potential for the creation of intelligent urban environments that enhance sustainability, efficiency, and the overall quality of life of citizens. This Special Issue will bring together researchers, practitioners, and policymakers to discuss the latest advancements, challenges, and opportunities in this multidisciplinary field. By shedding light on innovative applications, theoretical frameworks, and practical implementations, this Special Issue seeks to provide valuable insights and guidance for stakeholders involved in building the cities of tomorrow.
The scope of interest of this Special Issue includes, but is not limited to, the following topics:
- Integration of IoT, blockchain, machine learning, and digital twin technologies for smart cities;
- Data-driven decision making and predictive analytics in urban planning and management;
- Smart infrastructure and resource management enabled by these technologies;
- Security, privacy, and trust considerations in smart city systems;
- Citizen engagement and participatory approaches using IoT, blockchain, and machine learning;
- Real-time monitoring and control systems for urban mobility and transportation;
- Energy-efficient and sustainable solutions for smart cities through advanced technologies;
- Challenges and solutions in interoperability and standardization of smart city ecosystems;
- Ethical and social implications of IoT, blockchain, machine learning, supply chain, hydrogen fuel, renewable energies, energy management, and digital twin technologies in urban environments;
- Indoor navigation and location-based services for enhancing urban experiences and efficiency.
Dr. Faisal Jamil
Dr. Zeinab Shahbazi
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 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 2000 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
- Internet of Things (IoT)
- blockchain
- machine learning
- digital twin
- urban management
- data-driven technologies
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