978-3-031-51819-5.pdf

This open access book offers comprehensive, self-contained knowledge on Digital Twin (DT), which is a very promising technology for achieving digital intelligence in the next-generation wireless communications and computing networks. DT is a key technology to connect physical systems and digital spa...

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Γλώσσα:English
Έκδοση: Springer Nature 2024
Διαθέσιμο Online:https://link.springer.com/978-3-031-51819-5
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spelling oapen-20.500.12657-876382024-03-28T14:03:16Z Digital Twin Zhang, Yan Digital Twin Edge Computing Machine Learning 6G Internet of Things thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBJ Maths for engineers thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJK Communications engineering / telecommunications thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJK Communications engineering / telecommunications::TJKW WAP (wireless) technology thema EDItEUR::U Computing and Information Technology::UK Computer hardware::UKN Network hardware thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning This open access book offers comprehensive, self-contained knowledge on Digital Twin (DT), which is a very promising technology for achieving digital intelligence in the next-generation wireless communications and computing networks. DT is a key technology to connect physical systems and digital spaces in Metaverse. 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. 2024-02-13T16:11:52Z 2024-02-13T16:11:52Z 2024 book ONIX_20240213_9783031518195_19 9783031518195 9783031518188 https://library.oapen.org/handle/20.500.12657/87638 eng Simula SpringerBriefs on Computing application/pdf n/a 978-3-031-51819-5.pdf https://link.springer.com/978-3-031-51819-5 Springer Nature Springer Nature Switzerland 10.1007/978-3-031-51819-5 10.1007/978-3-031-51819-5 6c6992af-b843-4f46-859c-f6e9998e40d5 82fbc7bf-6766-42c0-b8fb-ee4538c8cde4 9783031518195 9783031518188 Springer Nature Switzerland 16 126 Cham [...] open access
institution OAPEN
collection DSpace
language English
description This open access book offers comprehensive, self-contained knowledge on Digital Twin (DT), which is a very promising technology for achieving digital intelligence in the next-generation wireless communications and computing networks. DT is a key technology to connect physical systems and digital spaces in Metaverse. 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.
title 978-3-031-51819-5.pdf
spellingShingle 978-3-031-51819-5.pdf
title_short 978-3-031-51819-5.pdf
title_full 978-3-031-51819-5.pdf
title_fullStr 978-3-031-51819-5.pdf
title_full_unstemmed 978-3-031-51819-5.pdf
title_sort 978-3-031-51819-5.pdf
publisher Springer Nature
publishDate 2024
url https://link.springer.com/978-3-031-51819-5
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