AI-Supported Fog Computing for Smart Cities

Dear Colleagues,

Fog computing is a decentralized computing infrastructure that provides computing, storage, and networking services between the edge devices and the cloud. Smart cities are rapidly growing and require robust and efficient computing systems to manage their increasing data demands. In smart cities, fog computing has emerged as a promising solution to address these demands by reducing latency, improving data security, and reducing the load on central cloud servers. However, implementing fog computing in smart cities is with various challenges, including cloud-fog integration, data management, security and privacy, and so on, which can be alleviated and mitigated by AI (artificial intelligence) techniques. AI empowers and better supports fog computing applications. This special issue focuses on recent developments and advancements in the field of AI supported fog computing for smart cities. It covers a wide range of topics, including distributed machine learning, decentralized AI, fog computing architecture and deployment, data management, security, and privacy in smart cities, as well as fog-based applications and services in various domains such as transportation, healthcare, and environmental monitoring.

This special issue invites researchers, practitioners, and industry experts from various disciplines to present state-of-the-art research and provide insights into the challenges and opportunities in fog computing for smart cities. We encourage innovative solutions for addressing the growing demand for low-latency and high-bandwidth applications and services in smart cities, as well as the need for secure and privacy-preserving data processing and storage. Topics of interest include, but are not limited to:

• AI supported efficient and effective distributed data processing
• Data management strategies in fog computing environments
• Security and privacy issues in fog computing for smart cities
• Real-world deployments and case studies of AI supported fog computing in smart cities
• Technical and practical aspects of implementing AI supported fog computing in smart cities.

Dr. Fangyu Li
Dr. Liang Zhao
Dr. Yihuai Lou
Guest Editors

Manuscript Submission Information

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• fog computing
• smart cities
• decentralized computing
• real-time decision-making
• AI supported