Overview
- This book is open access, which means that you have free and unlimited access
- A one-stop reference on Digital Twin, covering basics, essential topics and future directions
- Provides the design and implementation of Digital Twin for 6G and Internet of Things
Part of the book series: Simula SpringerBriefs on Computing (SBRIEFSC, volume 16)
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Table of contents (8 chapters)
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Front Matter
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Back Matter
Keywords
About this book
The objectives of this book are to provide the basic concepts of DT, to explore the promising applications of DT integrated with emerging technologies, and to give insights into the possible future directions of DT. For easy understanding, this book also presents several use cases for DT models and applications in different scenarios.
The book starts with the basic concepts, models, and network architectures of DT. Then, we present the new opportunities when DT meets edge computing, Blockchain and Artificial Intelligence, and
distributed machine learning (e.g., federated learning, multi-agent deep reinforcement learning). We also present a wide application of DT as an enabling technology for 6G networks, Aerial-Ground Networks, and Unmanned Aerial Vehicles (UAVs).
The book allows an easy cross-reference owing to the broad coverage on both the principle and applications of DT. The book is written for people interested in communications and computer networks at all levels. The primary audience includes senior undergraduates, postgraduates, educators, scientists, researchers, developers, engineers, innovators and research strategists.
Authors and Affiliations
About the author
He is Fellow of IEEE, Fellow of IET, elected member of Academia Europaea (MAE), elected member of the Royal Norwegian Society of Sciences and Letters (DKNVS), and elected member of Norwegian Academy of Technological Sciences (NTVA).
Bibliographic Information
Book Title: Digital Twin
Book Subtitle: Architectures, Networks, and Applications
Authors: Yan Zhang
Series Title: Simula SpringerBriefs on Computing
DOI: https://doi.org/10.1007/978-3-031-51819-5
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Author(s) 2024
Softcover ISBN: 978-3-031-51818-8Published: 09 February 2024
eBook ISBN: 978-3-031-51819-5Published: 08 February 2024
Series ISSN: 2512-1677
Series E-ISSN: 2512-1685
Edition Number: 1
Number of Pages: XVI, 126
Number of Illustrations: 1 b/w illustrations, 47 illustrations in colour
Topics: Mathematical and Computational Engineering, Communications Engineering, Networks, Wireless and Mobile Communication, Computer Communication Networks, Artificial Intelligence, Machine Learning