Mobile edge computing

This is an open access book. It offers comprehensive, self-contained knowledge on Mobile Edge Computing (MEC), which is a very promising technology for achieving intelligence in the next-generation wireless communications and computing networks. The book starts with the basic concepts, key technique...

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Bibliographic Details
Published inSimula SpringerBriefs on computing Vol. 9
Main Author Zhang, Yan
Format eBook Book
LanguageEnglish
Published Cham, Switzerland Springer 2022
Springer Nature
Springer International Publishing AG
Simula Research Laboratory
Edition1
SeriesSimula SpringerBriefs on Computing
Subjects
Online AccessGet full text
ISBN3030839435
9783030839437
3030839443
9783030839444
ISSN2512-1677
2512-1685
DOI10.1007/978-3-030-83944-4

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Summary:This is an open access book. It offers comprehensive, self-contained knowledge on Mobile Edge Computing (MEC), which is a very promising technology for achieving intelligence in the next-generation wireless communications and computing networks. The book starts with the basic concepts, key techniques and network architectures of MEC. Then, we present the wide applications of MEC, including edge caching, 6G networks, Internet of Vehicles, and UAVs. In the last part, we present new opportunities when MEC meets blockchain, Artificial Intelligence, and distributed machine learning (e.g., federated learning). We also identify the emerging applications of MEC in pandemic, industrial Internet of Things and disaster management. The book allows an easy cross-reference owing to the broad coverage on both the principle and applications of MEC. 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.
Bibliography:Includes bibliographical references
Electronic reproduction. Dordrecht: Springer, 2021. Requires the Libby app or a modern web browser.
ISBN:3030839435
9783030839437
3030839443
9783030839444
ISSN:2512-1677
2512-1685
DOI:10.1007/978-3-030-83944-4