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AI-ENABLED 6G NETWORKS AND APPLICATIONSProvides authoritative guidance on utilizing AI techniques in 6G network design and optimizationWritten and edited by active researchers, this book covers hypotheses and practical considerations and provides insights into the design of evolutionary AI algorithms for 6G networks, with focus on network transparency, interpretability and simulatability for vehicular networks, space systems, surveillance systems and their usages in different emerging engineering fields.AI-Enabled 6G Networks and Applications includes a review of AI techniques for 6G Networks and will focus on deployment of AI techniques to efficiently and effectively optimize the network performance, including AI-empowered mobile edge computing, intelligent mobility and handover management, and smart spectrum management. This book includes the design of a set of evolutionary AI hybrid algorithms with communication protocols, showing how to use them in practice to solve problems relating to vehicular networks, aerial networks, and communication networks.* Reviews various types of AI techniques such as AI-empowered mobile edge computing, intelligent handover management, and smart spectrum management* Describes how AI techniques manage computation efficiency, algorithm robustness, hardware development, and energy management* Identifies and provides solutions to problems in current 4G/5G networks and emergent 6G architectures* Discusses privacy and security issues in IoT-enabled 6G Networks* Examines the use of machine learning to achieve closed-loop optimization and intelligent wireless communicationAI-Enabled 6G Networks and Applications is an essential reference guide to advanced hybrid computational intelligence methods for 6G supportive networks and protocols, suitable for graduate students and researchers in network forensics and optimization, computer science, and engineering.
A practical guide to the design, implementation, evaluation, and deployment of emerging technologies for intelligent IoT applicationsWith the rapid development in artificially intelligent and hybrid technologies, IoT, edge, fog-driven, and pervasive computing techniques are becoming important parts of our daily lives. This book focuses on recent advances, roles, and benefits of these technologies, describing the latest intelligent systems from a practical point of view. Fog, Edge, and Pervasive Computing in Intelligent IoT Driven Applications is also valuable for engineers and professionals trying to solve practical, economic, or technical problems. With a uniquely practical approach spanning multiple fields of interest, contributors cover theory, applications, and design methodologies for intelligent systems. These technologies are rapidly transforming engineering, industry, and agriculture by enabling real-time processing of data via computational, resource-oriented metaheuristics and machine learning algorithms. As edge/fog computing and associated technologies are implemented far and wide, we are now able to solve previously intractable problems. With chapters contributed by experts in the field, this book:* Describes Machine Learning frameworks and algorithms for edge, fog, and pervasive computing* Considers probabilistic storage systems and proven optimization techniques for intelligent IoT* Covers 5G edge network slicing and virtual network systems that utilize new networking capacity* Explores resource provisioning and bandwidth allocation for edge, fog, and pervasive mobile applications* Presents emerging applications of intelligent IoT, including smart farming, factory automation, marketing automation, medical diagnosis, and moreResearchers, graduate students, and practitioners working in the intelligent systems domain will appreciate this book's practical orientation and comprehensive coverage. Intelligent IoT is revolutionizing every industry and field today, and Fog, Edge, and Pervasive Computing in Intelligent IoT Driven Applications provides the background, orientation, and inspiration needed to begin.
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