Edge-Enabled Big Data Intelligence for 6G and IoT Applications

Dear Colleagues,

The pervasive integration of the Internet of Things (IoT) is the cornerstone in the development of smart cities, healthcare advancements, and the evolution of Industry 4.0. This interconnected landscape generates an unprecedented volume of data, compelling the need for sophisticated big data processing and analysis technologies. These advancements not only streamline operations but also enhance overall efficiency and intelligence. The insights derived from data processing present unparalleled opportunities for a spectrum of emerging applications. However, it is widely recognized that effective big data processing and analysis demand substantial computing and storage resources, a demand that cloud computing readily fulfills, diverging from traditional IT methods.

Concurrently, the exigencies of burgeoning 6G applications have accentuated the necessity for swift field data analysis, particularly in achieving low-latency responses for tasks like autonomous driving and intelligent control within manufacturing and transportation sectors. The potential to fulfill these requirements lies within the realm of cloud/fog/edge computing, offering a compelling avenue for big data intelligence.

This Special Issue endeavors to explore diverse facets of big data processing and analysis interconnected with cloud/fog/edge computing for IoT applications. It encompasses a broad array of subjects, and potential topics include, but are not restricted to, the following:

• Cloud computing, fog computing, and edge computing in 6G and IoT;
• Novel theories, concepts, and paradigms of the convergence of AI, IoT, and Edge–Cloud;
• Artificial Intelligence, machine learning, and data science in/for Edge–Cloud–IoT;
• Distributed computing architectures, algorithms, and models in 6G and IoT;
• IoT data analytics models, algorithms, and applications;
• Edge-enabled big data intelligence in blockchain IoT;
• Explainable AI for IoT data processing;
• Big data intelligence for IoT security (authentication, access control, security models), privacy preservation, and data protection;
• Information integrity and fusion in IoT;
• Learned indices for efficient data processing in IoT;
• Big data intelligence for IoT communications and networking;
• Multi-objective decision making/optimization in 6G and IoT applications;
• Application and case studies (healthcare, Industry 4.0, energy, smart city, finance, etc.).

Prof. Dr. Chuan-Ming Liu
Dr. Chuan-Chi Lai
Guest Editors

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• 6G
• IoT
• cloud computing
• fog computing
• edge computing