fog iot (73 Ergebnisse)

1st ed. 2020. XVIII, 217 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

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Paperback. Zustand: Brand New. 232 pages. 9.18x6.12x9.21 inches. In Stock.

Taschenbuch. Zustand: Neu. Neuware -The fog-assisted Internet-of-Things (IoT) is gaining interest due to its potential to cause duplicate data transmission. This paper proposes task distribution and secure deduplication over Cluster-based IoT using four layers: IoT Devices Layer, Fog Layer, Cloud Layer, and Service Layer. The IoT devices layer deploys devices to sense air pollutants, authenticates them to the cloud server, and uses Adaptive Rewards Optimized Deep Reinforcement Learning (ARO-DRL) for cluster-head selection. The fog layer uses SHA-3 for duplicate verification and the Emperor Penguin Optimization Algorithm for fog node selection. The Hybrid cloud environment protects organizations' data by combining private and public clouds. Experiments were conducted using NS3 with Java programming, and simulation results showed improvements in average latency, user satisfaction, network lifetime, energy consumption, and security strength.Books on Demand GmbH, Überseering 33, 22297 Hamburg 52 pp. Englisch.

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Taschenbuch. Zustand: Neu. Neuware -Fog Computing with Internet of Things(IOT) is the new wave of technology after the Cloud Computing. The new disruption of the upcoming technology trend of IOT brought unexpected bursts of Volume, Variety and Velocity of Data, giving rise to Big Data scenarios. In this book, first of its kind, an attempt is made to briefly present the Definitions, Architectures, Applications of Fog Computing. The new challenges that Fog Computing throws up are in Security, Privacy and Stream based Analytics for the data coming out of the IOT Devices. Latency based Application Management, Load balancing in this context are also addressed. How the conventional machine learning techniques are required too be extended and adopted to big data scenarios that arise in the context of Fog Computing. The research directions, trends and challenges in Fog Computing that are discussed specially in the context of metadata for IOT data, data management with information lakes, data provenance and mobile Fog federation and migration issues are all presented. This book is aimed at students, both under graduate and graduate, researchers, faculty and practitioners in the Industry to understand what is Fog Computing.Books on Demand GmbH, Überseering 33, 22297 Hamburg 112 pp. Englisch.

Taschenbuch. Zustand: Neu. Fog IoT-Blockchain Reinforced Task Distribution | Secure Deduplication Using Adaptive DeepReinforcement Learning in Cluster-based Fog IoT | Boniface Ntambara | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207459001 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

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Zustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.

Zustand: New. pp. 300.

Taschenbuch. Zustand: Neu. Neuware -Internet of Things (IoT) is a technique to connect each and everything to the Internet, and it provides anything at any time regardless of irrespective of the location of the thing. As we are moving towards the IoT, the number of sensors deployed around the world is also growing at a rapid pace and an accelerated growth is expected in future. An increasing number of IoT middleware solutions are being developed in both research as well as commercial environments. However, sensor search and selection still remains a critical requirement and a challenge owing to its diversity and heterogeneity. This text presents a new architecture for fog computing along with mathematical modeling and logical design to achieve the minimized latency. Various methods have been introduced so as to carefully choose the fog node that helps in reducing the overall delay and generating quick responses. Different methods have been proposed to carry out a low latency and energy efficient sensor selection process for IoT services in the fog environment associated with any application presented in the form of flow based process(FBP).Books on Demand GmbH, Überseering 33, 22297 Hamburg 132 pp. Englisch.

Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book first provides a comprehensive review of state-of-the-art IoT technologies and applications in different industrial sectors and public services. The authors give in-depth analyses of fog computing architecture and key technologies that fulfill the challenging requirements of enabling computing services anywhere along the cloud-to-thing continuum. Further, in order to make IoT systems more intelligent and more efficient, a fog-enabled service architecture is proposed to address the latency requirements, bandwidth limitations, and computing power issues in realistic cross-domain application scenarios with limited priori domain knowledge, i.e. physical laws, system statuses, operation principles and execution rules. Based on this fog-enabled architecture, a series of data-driven self-learning applications in different industrial sectors and public services are investigated and discussed, such as robot SLAM and formation control, wireless network self-optimization, intelligent transportation system, smart home and user behavior recognition. Finally, the advantages and future directions of fog-enabled intelligent IoT systems are summarized. Provides a comprehensive review of state-of-the-art IoT technologies and applications in different industrial sectors and public servicesPresents a fog-enabled service architecture with detailed technical approaches for realistic cross-domain application scenarios with limited prior domain knowledgeOutlines a series of data-driven self-learning applications (with new algorithms) in different industrial sectors and public services.

hardcover. Zustand: Very Good.

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Softcover. Zustand: Comme neuf. Edition 2023. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, As new. Edition 2023. Ammareal gives back up to 15% of this item's net price to charity organizations.

Paperback. Zustand: Brand New. 236 pages. 9.25x6.10x0.56 inches. In Stock.

Gebunden. Zustand: New. Deepak Gupta, PhD, is an Assistant Professor in the Department of Computer Science and Engineering at the Maharaja Agrasen Institute of Technology, Delhi, India. He has published 158 papers and 3 patents. He is associated with numerous professional bodies, .

Taschenbuch. Zustand: Neu. Fog-Enabled Intelligent IoT Systems | Yang Yang (u. a.) | Taschenbuch | xviii | Englisch | 2020 | Springer International Publishing | EAN 9783030231873 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Hardcover. Zustand: Brand New. 424 pages. 9.00x6.00x1.25 inches. In Stock.

Taschenbuch. Zustand: Neu. Neuware -This book first provides a comprehensive review of state-of-the-art IoT technologies and applications in different industrial sectors and public services. The authors give in-depth analyses of fog computing architecture and key technologies that fulfill the challenging requirements of enabling computing services anywhere along the cloud-to-thing continuum. Further, in order to make IoT systems more intelligent and more efficient, a fog-enabled service architecture is proposed to address the latency requirements, bandwidth limitations, and computing power issues in realistic cross-domain application scenarios with limited priori domain knowledge, i.e. physical laws, system statuses, operation principles and execution rules. Based on this fog-enabled architecture, a series of data-driven self-learning applications in different industrial sectors and public services are investigated and discussed, such as robot SLAM and formation control, wireless network self-optimization, intelligent transportation system, smart home and user behavior recognition. Finally, the advantages and future directions of fog-enabled intelligent IoT systems are summarized.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 236 pp. Englisch.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book first provides a comprehensive review of state-of-the-art IoT technologies and applications in different industrial sectors and public services. The authors give in-depth analyses of fog computing architecture and key technologies that fulfill the challenging requirements of enabling computing services anywhere along the cloud-to-thing continuum. Further, in order to make IoT systems more intelligent and more efficient, a fog-enabled service architecture is proposed to address the latency requirements, bandwidth limitations, and computing power issues in realistic cross-domain application scenarios with limited priori domain knowledge, i.e. physical laws, system statuses, operation principles and execution rules. Based on this fog-enabled architecture, a series of data-driven self-learning applications in different industrial sectors and public services are investigated and discussed, such as robot SLAM and formation control, wireless network self-optimization, intelligent transportation system, smart home and user behavior recognition. Finally, the advantages and future directions of fog-enabled intelligent IoT systems are summarized.Provides a comprehensive review of state-of-the-art IoT technologies and applications in different industrial sectors and public servicesPresents a fog-enabled service architecture with detailed technical approaches for realistic cross-domain application scenarios with limited prior domain knowledgeOutlines a series of data-driven self-learning applications (with new algorithms) in different industrial sectors and public services.

Gebunden. Zustand: New. Mung Chiang is the Arthur LeGrand Doty Professor of Electrical Engineering at Princeton University, the Director of the Keller Center for Innovation in Engineering Education, and the Chair of Princeton Entrepreneurship Council, USA. Dr. Chiang founded the P.

Zustand: New. 2020. 1st Edition. Hardcover. . . . . . Books ship from the US and Ireland.

Hardcover. Zustand: Brand New. 290 pages. 9.75x6.50x0.75 inches. In Stock.

Hardcover. Zustand: Brand New. 313 pages. 10.25x7.00x1.00 inches. In Stock.

Zustand: New. 2021. 1st Edition. Hardcover. . . . . . Books ship from the US and Ireland.

Zustand: New. The book examines how Fog will change the information technology industry in the next decade. Fog distributes the services of computation, communication, control and storage closer to the edge, access and users. As a computing and networking architecture, Fog enables key applications in wireless 5G, the Internet of Things, and big data. Series: Information and Communication Technology Series. Num Pages: 288 pages. BIC Classification: TJKW; UTW. Category: (G) General (US: Trade). Weight in Grams: 666. . 2017. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Taschenbuch. Zustand: Neu. Fog Data Analytics for IoT Applications | Next Generation Process Model with State of the Art Technologies | Sudeep Tanwar | Taschenbuch | xv | Englisch | 2021 | Springer Singapore | EAN 9789811560460 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher.