Innovations in the Industrial Internet of Things (IIoT) and Smart Factory (Advances in Computer and Electrical Engineering)

Industrial internet of things (IIoT) is changing the face of industry by completely redefining the way stakeholders, enterprises, and machines connect and interact with each other in the industrial digital ecosystem. Smart and connected factories, in which all the machinery transmits real-time data, enable industrial data analytics for improving operational efficiency, productivity, and industrial processes, thus creating new business opportunities, asset utilization, and connected services. IIoT leads factories to step out of legacy environments and arcane processes towards open digital industrial ecosystems. Innovations in the Industrial Internet of Things (IIoT) and Smart Factory is a pivotal reference source that discusses the development of models and algorithms for predictive control of industrial operations and focuses on optimization of industrial operational efficiency, rationalization, automation, and maintenance. While highlighting topics such as artificial intelligence, cyber security, and data collection, this book is ideally designed for engineers, manufacturers, industrialists, managers, IT consultants, practitioners, students, researchers, and industrial industry professionals. Title Page 1 Copyright Page 2 Book Series 3 Table of Contents 5 Detailed Table of Contents 8 Preface 15 Chapter 1: The Challenges, Technologies, and Role of Fog Computing in the Context of Industrial Internet of Things 28 Chapter 2: Towards the Protection and Security in Fog Computing for Industrial Internet of Things 44 Chapter 3: Advanced Predictive Analytics for Control of Industrial Automation Process 60 Chapter 4: Internet of Things and Robotic Applications in the Industrial Automation Process 77 Chapter 5: Fog Computing in Industrial Internet of Things 92 Chapter 6: Voice-Controlled Biped Walking Robot for Industrial Applications 106 Chapter 7: Realizing a Ultra-Low Latency M-CORD Model for Real-Time Traffic Settings in Smart Cities 120 Chapter 8: Traffic Analysis Using IoT for Improving Secured Communication 133 Chapter 9: Challenges to Industrial Internet of Things (IIoT) Adoption 144 Chapter 10: Industrial Internet of Things 160 Chapter 11: Knowledge-Driven Autonomous Robotic Action Planning for Industry 4.0 176 Chapter 12: Industrial Internet of Things 4.0 199 Chapter 13: Blockchain-Enabled Decentralized Reliable Smart Industrial Internet of Things (BCIIoT) 219 Chapter 14: Digitalization and Automation in Agriculture Industry 232 Chapter 15: Internet of Things for High Performance Net Zero Energy Buildings 244 Chapter 16: Implication of Predictive Maintenance for Industrial Marketing 258 Chapter 17: Enhancing In-Service Tank Maintenance Through Industrial Internet of Things 271 Compilation of References 298 About the Contributors 329 Index 337 "This book discusses the development of models and algorithms for predictive control of industrial operations and focuses on optimization of industrial operational efficiency, rationalization, automation, and maintenance"-- Provided by publisher