Digital Twin: Architectures, Networks, and Applications

The Simula SpringerBriefs on Computing book series provides introductions to select areas of research in computing that can otherwise be inaccessible. In volume 16 of the series, Digital Twin - Architectures, Networks, and Applications, Yan Zhang addresses Digital Twin (DT) technology for a target audience of senior undergraduates, postgraduates, educators, scientists, researchers, developers, engineers, innovators and research strategists.

The book starts with the basic concepts, models, and network architectures of DT. Then, it highlights challenges and opportunities where DT meets edge computing, blockchain, artificial intelligence, and distributed machine learning (e.g., federated learning and multi-agent deep reinforcement learning). Finally, it presents DT as an enabling technology for 6G networks, aerial-ground networks, and unmanned aerial vehicles and illustrates the design and implementation of DT for 6G and internet of things.

Open access

As with all the Simula SpringerBriefs on Computing, this volume is open access under a CC BY 4.0 license and was published by SpringerOpen.

About the author 

Yan Zhang is a full Professor in the Department of Informatics at University of Oslo, Norway. His research interests include next-generation wireless networks leading to 5G beyond/6G, green and secure cyber-physical systems (e.g., smart grid and transport). Since 2018, Prof. Zhang has been a recipient of the global "Highly Cited Researcher" Award (Web of Science top 1% most cited worldwide).