Networking Systems of Artificial Intelligence for Future Smart City
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Networks".
Deadline for manuscript submissions: closed (29 February 2024) | Viewed by 1842
Special Issue Editors
Interests: AI; networking systems of AI; communications; networking; signal processing
Interests: signal processing; activity recognition; anomaly detection; domain adaptation
Interests: computer vision; semi-supervised learning; ensemble learning; object detection; online evolutive learning
Special Issue Information
Dear Colleagues,
With the rapid development of urbanization and the Internet of Things (IoT), smart cities are becoming increasingly important and are expected to become a reality in the near future. Networking Systems of AI (NSAI) are critical for the success of future smart cities, as they can improve the efficiency and security of urban operations.
Despite the potential benefits for smart cities, there are still several challenges in the development of AI-powered networking systems. One of the most significant challenges is the integration of heterogeneous networking systems and protocols, which requires the design of intelligent and adaptive networking systems that can handle a vast amount of heterogeneous data in real time. Another challenge is the security and privacy issues associated with the use of AI in smart cities, as the sensitive data and information can be vulnerable to attacks.
Nonetheless, NSAI also presents significant opportunities for improving urban operations and enhancing the quality of life of citizens. AI-powered decision-making systems can optimize the use of resources and improve the efficiency of transportation, energy, and communication systems. Additionally, the integration of AI in smart city governance and public services can improve citizen participation and increase transparency and accountability in urban operations.
This Special Issue aims to provide a platform for researchers, practitioners, and policymakers to exchange ideas, share experiences, and discuss the latest developments and challenges in NSAI for future smart cities. We invite authors to submit their original research articles, reviews, and case studies on this topic. We believe that this Special Issue will contribute to the advancement of NSAI and promote sustainable and intelligent urban development. We welcome submissions that address practical challenges, including, but not limited to, the following topics:
- B5G and Polymorphic Networking Protocols for Smart cities
- Security and Privacy in AI-enabled Smart City Networks
- Heterogenous Micro- and Nano-Electronics for lMCSC (Integrated Memory–Computing–Sensing-communications)
- AI-Empowered Smart Services and Applications
- Applications of AI in Smart City Governance, Citizen Participation, and Public Services
We are particularly interested in papers that propose novel ideas, techniques, and solutions that address the unique challenges of NSAI in smart cities. Papers that report on practical experiments, case studies, and real-world implementations are also welcome.
The detailed list of topics is as follows:
- B5G and polymorphic networking protocols for smart cities
- B5G AI-empowered communications
- Dynamic network configuration and optimization
- Intelligent network monitoring and management
- AI-empowered L2 multihop wireless transmissions
- Mobile/Edge/Cloud computing infrastructure
- Security and privacy in AI-enabled smart city networks
- Secure communication and data privacy in smart city networks
- AI-powered intrusion detection and prevention
- Privacy-preserving data collection and analysis
- Secure authentication and access control
- Blockchain-based security and privacy solutions for smart city networks
- Heterogenous micro- and nano-electronics for IMCSC (Integrated Memory–Computing–Sensing Communications)
- Mimic-state wafer and chiplet designs
- Next-generation CPU based on RISC-V architecture
- Next-generation memory-computing for AI computing
- Heterogenous IMCsC architecture and technology
- NSAI-based communications and MEMS
- AI-empowered smart services and applications
- Distributed AI computing
- Online evolutive-learning-based AI systems
- Smart services and APls
- New AAA techniques
- NSAI applications and trails
- AI approaches to IoT requirements
- AI-generated content for multimedia
- Applications of AI in smart city governance, citizen participation, and public services
- AI empowered brain–computer interface
- AI-assisted public services for smart cities
- Intelligent healthcare systems for smart cities
- AI-based urban environment monitoring and management
We look forward to receiving your contributions.
Prof. Dr. Liang Song
Dr. Jing Liu
Dr. Di Li
Guest Editors
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Keywords
- machine learning
- signal processing
- AI-empowered communications
- edge computing
- secure communication
- distributed computing
- evolutive learning
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