A practical guide to the design, implementation, evaluation, and deployment of emerging technologies for intelligent IoT applications With 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 more Researchers, 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.

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.

About the EditorsList of contributorsPrefaceAcknowledgmentChapter 1 Fog, Edge and Pervasive computing in Intelligent IoT driven applications in Healthcare: Challenges, Limitations and Future UseChapter 2 Future opportunistic Fog/Edge Computational models and their LimitationsChapter 3 Automating Elicitation Technique Selection using Machine Learning in Cloud EnvironmentChapter 4 Machine Learning Frameworks and Algorithms for Fog and Edge ComputingChapter 5 Integrated Cloud Based Library Management in Intelligent IoT driven applicationsChapter 6 A Systematic and Structured Review of Intelligent Systems for Diagnosis of Renal CancerChapter 7 Location driven Edge assisted device and solutions for intelligent transportationChapter 8 Design and Simulation of MEMS for Automobile Condition Monitoring Using COMSOL Multiphysics SimulatorChapter 9 IoT Driven Healthcare Monitoring SystemChapter 10 Fog Computing as Future Perspective in Vehicular Ad hoc NetworksChapter 11 An overview to design an efficient and secure fog-assisted data collection method in Internet of ThingsChapter 12 Use of Fog Computing in Analytics of Internet of ThingsChapter 13 A Medical diagnosis of urethral stricture using Intuitionistic fuzzy setsChapter 14 Security Attacks in Internet of ThingsChapter 15 Fog Integrated Novel Architecture for Telehealth Services with Swift Medical DeliveryChapter 16 Fruit Fly Optimization Algorithm for Intelligent IoT ApplicationsChapter 17 Nature inspired driven multi-objective techniques for intelligent IoT ApplicationsChapter 18 Optimization Techniques for Intelligent IoT Applications in Transport ProcessesChapter 19 Role of Intelligent IOT applications in Fog paradigm: Issues, Challenges and future opportunitiesChapter 20 Security and Privacy issues in Fog/Edge/Pervasive computingChapter 21 Fog and Edge driven Security & Privacy Issues in IoT DevicesIndex