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        Mobile Edge Computing

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        Author(s)
        Zhang, Yan
        Language
        English
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        Abstract
        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.
        URI
        https://library.oapen.org/handle/20.500.12657/50969
        Keywords
        Open Access; mobile edge computing; 5G beyond; 6G; edge caching; Internet of Things; UAV
        DOI
        10.1007/978-3-030-83944-4
        ISBN
        9783030839444, 9783030839444
        Publisher
        Springer Nature
        Publisher website
        https://www.springernature.com/gp/products/books
        Publication date and place
        2022
        Imprint
        Springer
        Series
        Simula SpringerBriefs on Computing, 9
        Classification
        Mobile and handheld device programming / Apps programming
        WAP (wireless) technology
        Electrical engineering
        Computing and Information Technology
        Pages
        113
        Rights
        http://creativecommons.org/licenses/by/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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