Dear Colleagues,

The Internet of Things (IoT) and, in particular, smart cities (i.e., as one of the main use cases of IoT), have recently provided a new application domain for data analytics, where relatively few studies have been reported in the literature.

The IoT often generates a large amount of data (Big Data). However, Big Data analytics for IoT is quite complex due to a variety of issues, such as: i) the requirements of cross-thematic applications (e.g., energy, transport, water and urban), ii) multiple data sources providing unstructured, semi-structured or structured data, and iii) the trustworthiness of data.

On the other hand, a review of the state of the art shows very promising insights about utilizing cloud computing resources for IoT-based Big Data analytics. It can provide solutions to facilitate storing, processing, and analyzing Big Data for information and knowledge generation with artificial intelligence (AI) techniques.

This Special Issue aims to explore the potential of cloud computing (i.e., including all cloud-related technologies including edge/fog computing) and Big Data analytics in IoT and  smart cities by going beyond the existing conventional approaches and architectures.

The topics of interest for this Special Issue include, but are not limited to, the following:

• Architecture for cloud-based data analytics: from a centralized to fully distributed architecture;
• Data-driven IoT applications (e.g., smart cities, industrial, healthcare applications, etc.);
• AI techniques for autonomous IoT applications;
• Cloud computing technologies for IoT (e.g., Native Cloud, Serverless Cloud, etc.);
• Edge/Fog/ROOF computing, edge intelligence in IoT and smart cities;
• Hierarchical computing, centralized/distributed/decentralized computing for IoT;
• 5G MEC-based IoT and smart cities;
• Security, privacy and trust in IoT, Big Data and AI;
• Support of emerging technologies (i.e., digital twin, blockchain, etc.).

Prof. Gyu Myoung Lee
Dr. Ehsan Ahvar
Dr. Shohreh Ahvar
Dr. S. H. Shah Newaz
Guest Editors

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• Cloud computing
• Edge computing
• Internet of Things
• Smart cities
• Big Data
• Data analytics