About the Book:
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.
Chapters contributed by experts in the field, this book:
Describes Machine Learning frameworks and algorithms for edge, fog, and pervasive computingConsiders probabilistic storage systems and proven optimization techniques for intelligent IoTCovers 5G edge network slicing and virtual network systems that utilize new networking capacityExplores resource provisioning and bandwidth allocation for edge, fog, and pervasive mobile applicationsPresents emerging applications of intelligent IoT, including smart farming, factory automation, marketing automation, medical diagnosis, and more
Table of Contents
Fog, Edge and Pervasive Computing in Intelligent Internet of Things Driven Applications in Healthcare: Challenges, Limitations and Future Use
Future Opportunistic Fog/Edge Computational Models and their Limitations
Automating Elicitation Technique Selection using Machine Learning
Machine Learning Frameworks and Algorithms for Fog and Edge Computing
Integrated Cloud Based Library Management in Intelligent IoT driven Applications
A Systematic and Structured Review of Intelligent Systems for Diagnosis of Renal Cancer
Location Driven Edge Assisted Device and Solutions for Intelligent Transportation
Design and Simulation of MEMS for Automobile Condition Monitoring Using COMSOL Multiphysics Simulator
IoT Driven Healthcare Monitoring System
Fog Computing as Future Perspective in Vehicular Ad hoc Networks
An Overview to Design an Efficient and Secure Fog-assisted Data Collection Method in the Internet of Things
Role of Fog Computing Platform in Analytics of Internet of Things- Issues, Challenges and Opportunities
A Medical Diagnosis of Urethral Stricture Using Intuitionistic Fuzzy Sets
Security Attacks in Internet of Things
Fog Integrated Novel Architecture for Telehealth Services with Swift Medical Delivery
Fruit Fly Optimization Algorithm for Intelligent IoT Applications
Optimization Techniques for Intelligent IoT Applications
Optimization Techniques for Intelligent IoT Applications in Transport Processes
Role of Intelligent IOT Applications in Fog paradigm: Issues, Challenges and Future Opportunities
Security and Privacy Issues in Fog/Edge/Pervasive Computing
Fog and Edge Driven Security & Privacy Issues in IoT Devices
