mobile edge computing (155 résultats)

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Paperback. Etat : New. 1st ed. 2022. 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.

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Paperback. Etat : Brand New. 128 pages. 9.25x6.10x0.31 inches. In Stock.

Paperback. Etat : new. Paperback. With the rapid evolution of wireless communication technologies, emerging applications like autonomous driving, telemedicine, and virtual reality are becoming integral to modern life. These advancements have significantly increased computing demands and coverage requirements, posing challenges for traditional systems and resource-constrained devices. Unmanned aerial vehicle-assisted mobile edge computing (UAV-assisted MEC) offers an innovative solution, enabling rapid deployment of communication infrastructure and providing efficient computing services for devices. However, the openness and broadcast nature of UAV communications make them highly susceptible to security threats.The book "Secure Communications in Unmanned Aerial Vehicle-Enabled Mobile Edge Computing Systems" explores advanced strategies to secure data transmission in UAV-enabled MEC systems. Furthermore, this book provides a detailed exploration of how physical-layer security techniques can be effectively employed to enhance secure communications within these complex systems. Aimed at researchers, engineers, and professionals in the fields of secure communications, MEC, and UAV technology, the book addresses the growing demand for resilient security frameworks that can handle the dynamic and real-time nature of UAV operations. It offers vital insights for anyone involved in the development of next-generation wireless networks, making it an indispensable reference for those tackling security challenges in UAV-enabled MEC systems.The content covers advanced theoretical insights and technical analysis, offering a comprehensive range of methods to strengthen security in UAV-enabled MEC systems. Key topics include secure offloading strategies, communication modes, edge learning, deep reinforcement learning, reconfigurable intelligent surface, and multiple UAVs collaboration. Additionally, the book delves into physical-layer security techniques such as artificial noise generation and cooperative jamming. These methods aim to safeguard sensitive information from eavesdroppers and secure communication channels at the physical layer. Alongside these security-focused techniques, the book also covers essential optimization strategies, including trajectory optimization, resource allocation under adversarial conditions, which collectively enhance secure performance in UAV-enabled MEC systems. However, the openness and broadcast nature of UAV communications make them highly susceptible to security threats.The book "Secure Communications in Unmanned Aerial Vehicle-Enabled Mobile Edge Computing Systems" explores advanced strategies to secure data transmission in UAV-enabled MEC systems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Etat : Brand New. 90 pages. 9.25x6.10x9.25 inches. In Stock.

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Etat : New. 1st ed. 2022 edition NO-PA16APR2015-KAP.

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

Paperback. Etat : new. Paperback. With the rapid evolution of wireless communication technologies, emerging applications like autonomous driving, telemedicine, and virtual reality are becoming integral to modern life. These advancements have significantly increased computing demands and coverage requirements, posing challenges for traditional systems and resource-constrained devices. Unmanned aerial vehicle-assisted mobile edge computing (UAV-assisted MEC) offers an innovative solution, enabling rapid deployment of communication infrastructure and providing efficient computing services for devices. However, the openness and broadcast nature of UAV communications make them highly susceptible to security threats.The book "Secure Communications in Unmanned Aerial Vehicle-Enabled Mobile Edge Computing Systems" explores advanced strategies to secure data transmission in UAV-enabled MEC systems. Furthermore, this book provides a detailed exploration of how physical-layer security techniques can be effectively employed to enhance secure communications within these complex systems. Aimed at researchers, engineers, and professionals in the fields of secure communications, MEC, and UAV technology, the book addresses the growing demand for resilient security frameworks that can handle the dynamic and real-time nature of UAV operations. It offers vital insights for anyone involved in the development of next-generation wireless networks, making it an indispensable reference for those tackling security challenges in UAV-enabled MEC systems.The content covers advanced theoretical insights and technical analysis, offering a comprehensive range of methods to strengthen security in UAV-enabled MEC systems. Key topics include secure offloading strategies, communication modes, edge learning, deep reinforcement learning, reconfigurable intelligent surface, and multiple UAVs collaboration. Additionally, the book delves into physical-layer security techniques such as artificial noise generation and cooperative jamming. These methods aim to safeguard sensitive information from eavesdroppers and secure communication channels at the physical layer. Alongside these security-focused techniques, the book also covers essential optimization strategies, including trajectory optimization, resource allocation under adversarial conditions, which collectively enhance secure performance in UAV-enabled MEC systems. However, the openness and broadcast nature of UAV communications make them highly susceptible to security threats.The book "Secure Communications in Unmanned Aerial Vehicle-Enabled Mobile Edge Computing Systems" explores advanced strategies to secure data transmission in UAV-enabled MEC systems. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Taschenbuch. Etat : Neu. Mobile Edge Computing | Yan Zhang | Taschenbuch | Simula SpringerBriefs on Computing | xiv | Englisch | 2021 | Springer | EAN 9783030839437 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Paperback. Etat : New. 1st ed. 2022. 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.

Etat : Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

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Etat : As New. Unread book in perfect condition.

Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - With the rapid evolution of wireless communication technologies, emerging applications like autonomous driving, telemedicine, and virtual reality are becoming integral to modern life. These advancements have significantly increased computing demands and coverage requirements, posing challenges for traditional systems and resource-constrained devices. Unmanned aerial vehicle-assisted mobile edge computing (UAV-assisted MEC) offers an innovative solution, enabling rapid deployment of communication infrastructure and providing efficient computing services for devices. However, the openness and broadcast nature of UAV communications make them highly susceptible to security threats.The book 'Secure Communications in Unmanned Aerial Vehicle-Enabled Mobile Edge Computing Systems' explores advanced strategies to secure data transmission in UAV-enabled MEC systems. Furthermore, this book provides a detailed exploration of how physical-layer security techniques can be effectively employed to enhance secure communications within these complex systems. Aimed at researchers, engineers, and professionals in the fields of secure communications, MEC, and UAV technology, the book addresses the growing demand for resilient security frameworks that can handle the dynamic and real-time nature of UAV operations. It offers vital insights for anyone involved in the development of next-generation wireless networks, making it an indispensable reference for those tackling security challenges in UAV-enabled MEC systems.The content covers advanced theoretical insights and technical analysis, offering a comprehensive range of methods to strengthen security in UAV-enabled MEC systems. Key topics include secure offloading strategies, communication modes, edge learning, deep reinforcement learning, reconfigurable intelligent surface, and multiple UAVs collaboration. Additionally, the book delves into physical-layer security techniques such as artificial noise generation and cooperative jamming. These methods aim to safeguard sensitive information from eavesdroppers and secure communication channels at the physical layer. Alongside these security-focused techniques, the book also covers essential optimization strategies, including trajectory optimization, resource allocation under adversarial conditions, which collectively enhance secure performance in UAV-enabled MEC systems.