Digital Twins for Intelligent IoT Systems: Architectures, Models, and Applications

Dear Colleagues,

Digital Twins are becoming increasingly relevant in the evolution of IoT systems, as they enable digital representations of physical entities and environments. Their adoption is growing in several domains, including smart cities, industry, and healthcare, where heterogeneous sensor data must be integrated and processed to support monitoring, optimization, and decisions.

This Special Issue aims to present and disseminate the most recent advances in Digital Twins for IoT applications. We consider contributions addressing architectures, methodologies, and experimental applications of Digital Twins in IoT systems, with particular attention to the integration of sensing, communication, and services. The goal of this Special Issue is to provide a focused overview of current trends, challenges, and opportunities in this research area, highlighting solutions of interest for both academia and industry.

Topics of interest for publication include, but are not limited to, the following:

• Digital Twin architectures for IoT systems and Applications;
• Multi-sensor fusion for Digital Twin platforms;
• Human Digital Twins;
• Real-time data integration and synchronization in Digital Twin systems;
• Edge-cloud support for Digital Twin applications;
• Artificial intelligence and machine learning for Digital Twins;
• Interoperability in Digital Twin systems;
• Communication among interconnected Digital Twins;
• Distributed intelligence and service orchestration for Digital Twins;
• Security, privacy, and trustworthiness in Digital Twin platforms.

Dr. Claudio Marche
Dr. Alessandro Floris
Guest Editors

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