AI-Enabled Sustainable Computing for Digital Infrastructures: Challenges and Innovations

Dear Colleagues,

The Internet of Things (IoT) has revolutionized various aspects of our lives, with the integration of semiconductor technology and artificial intelligence (AI) playing a crucial role. However, the intensive computational requirements of AI and blockchain technologies have created significant challenges for energy-constrained IoT devices. The rapid advancement of AI technologies, such as deep learning, offers exciting opportunities for extracting reliable information from large amounts of raw sensor data in IoT applications. Blockchain, on the other hand, is gaining traction in IoT development to address security and privacy concerns due to its immutable and decentralized nature.

This Topic focuses on the latest advances and research findings in sustainable computing for IoT applications driven by AI and blockchain. It aims to offer a platform for academics and practitioners worldwide to develop innovative solutions to current challenges. The topics of interest include but are not limited to lightweight deep learning models with blockchain-based architectures, a fusion of AI and blockchain for sustainable IoT, new computing architectures for sustainable IoT systems, cyber physical systems, energy-efficient communication protocols, and security and privacy issues in sustainable computing for IoT applications.

In summary, this Topic aims to explore the interplay between AI, blockchain, and sustainable computing in the context of IoT applications and to provide insights and practical solutions for addressing the challenges of sustainable computing in digital infrastructures.

Prof. Dr. Robertas Damaševičius
Dr. Lalit Garg
Dr. Nebojsa Bacanin
Prof. Dr. Justyna Patalas-Maliszewska
Topic Editors