Communication, Sensing and Computing for Intelligent Internet of Things Enabled Applications

Dear Colleagues,

Internet of things (IoT) technology is increasingly pervasive in all aspects of our lives, and its use is anticipated to significantly increase in future smart cities to support their revolutionary applications and advanced concepts such as smart manufacturing, digital twins, smart transportation, and smart healthcare. The network connectivity technology required to support the above applications’ strict operational constraints, such as 5G and B5G, the rise and the ever-expanding spectrum of artificial intelligence techniques usage, and the computational power available at the cloud or edge level, enabled the design and development of a new class of applications in which the IoT acts as a bridge between sensing technologies and cloud/edge computing hosted applications.

It is anticipated that intelligent IoT-based applications will proliferate, contributing to the infrastructure supporting smart cities services. This trend, in turn, is going to impose unprecedented pressure on network connectivity as well as edge and cloud computational power. Therefore, the main aim of this Special Issue is to seek high-quality submissions that highlight emerging intelligent IoT-enabled applications and propose original contributions to solve their associated key challenges. Authors are invited to submit original contributions that address the following topics:

• IoT applications for smart cities;
• Edge computing frameworks for intelligent IoT-enabled applications;
• Security and privacy issues for intelligent IoT-enabled applications;
• Blockchain technologies for IoT-enabled applications;
• Cloud computing for intelligent IoT-enabled applications;
• IoT-enabled digital twins;
• AI-enabled IoT applications;
• IoT interoperability and multi-platform integration;
• Advanced IoT data management, mining, and analytics;
• IoT big data management and predictive analysis;
• Resource management techniques for IoT-enabled applications;
• IoT for smart manufacturing (Industry 5.0) and smart spaces;
• Mobility, localization, and context-adaptive IoT;
• Edge computing, fog computing, and IoT;
• Federated learning for IoT networks;
• SDN, NFV, and IoT.

Dr. Mamun Abu-Tair
Dr. Soufiene Djahel
Dr. Dhiah el Diehn I. Abou-Tair
Dr. Philip Perry
Guest Editors

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