Fog, Edge, and Pervasive Computing in Intelligent IoT Driven Applications

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.

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, including IEEE, ISTE, IAENG, and IACSIT. He is the convener and organizer of the ICICC, ICDAM Springer Conference Series.

Aditya Khamparia, PhD, is Associate Professor of Computer Science at Lovely Professional University, Punjab, India. He has published more than 45 scientific research publications and is a member of CSI, IET, ISTE, IAENG, ACM and IACSIT.

About the Editors

List of contributors

Preface

Acknowledgment

Chapter 1 Fog, Edge and Pervasive computing in Intelligent IoT driven applications in Healthcare: Challenges, Limitations and Future Use

Chapter 2 Future opportunistic Fog/Edge Computational models and their Limitations

Chapter 3 Automating Elicitation Technique Selection using Machine Learning in Cloud Environment

Chapter 4 Machine Learning Frameworks and Algorithms for Fog and Edge Computing

Chapter 5 Integrated Cloud Based Library Management in Intelligent IoT driven applications

Chapter 6 A Systematic and Structured Review of Intelligent Systems for Diagnosis of Renal Cancer

Chapter 7 Location driven Edge assisted device and solutions for intelligent transportation

Chapter 8 Design and Simulation of MEMS for Automobile Condition Monitoring Using COMSOL Multiphysics Simulator

Chapter 9 IoT Driven Healthcare Monitoring System

Chapter 10 Fog Computing as Future Perspective in Vehicular Ad hoc Networks

Chapter 11 An overview to design an efficient and secure fog-assisted data collection method in Internet of Things

Chapter 12 Use of Fog Computing in Analytics of Internet of Things

Chapter 13 A Medical diagnosis of urethral stricture using Intuitionistic fuzzy sets

Chapter 14 Security Attacks in Internet of Things

Chapter 15 Fog Integrated Novel Architecture for Telehealth Services with Swift Medical Delivery

Chapter 16 Fruit Fly Optimization Algorithm for Intelligent IoT Applications

Chapter 17 Nature inspired driven multi-objective techniques for intelligent IoT Applications

Chapter 18 Optimization Techniques for Intelligent IoT Applications in Transport Processes

Chapter 19 Role of Intelligent IOT applications in Fog paradigm: Issues, Challenges and future opportunities

Chapter 20 Security and Privacy issues in Fog/Edge/Pervasive computing

Chapter 21 Fog and Edge driven Security & Privacy Issues in IoT Devices

Index

The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.

The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.