Table of Contents:

Chapter 1

: Introduction
  1.1 Evolution of Edge Computing in IoT
  1.2 Significance of Edge Computing in IoT Applications
  1.3 Challenges and Opportunities in Edge Computing
  1.4 Research Objectives and Scope

Chapter 2

: Edge Computing Architectures
  2.1 Fog Computing and Cloudlet Architectures
  2.2 Edge Device Heterogeneity and Resource Management
  2.3 Edge-Cloud Collaboration and Data Offloading
  2.4 Security and Privacy in Edge Computing
  2.5 Edge Analytics and Machine Learning
  2.6 Edge-to-Cloud Communication Protocols
  2.7 Energy-Efficient Edge Computing

Chapter 3

: IoT Device Integration with Edge Systems
  3.1 Sensor Data Acquisition and Preprocessing
  3.2 Edge Gateway Design and Implementation
  3.3 Real-time Data Processing at the Edge
  3.4 Edge-Enabled Actuation and Control
  3.5 Edge Device Management and Orchestration
  3.6 Edge Security and Trust Management
  3.7 Edge-Driven Adaptive IoT Applications

Chapter 4

: Edge Computing for IoT Applications
  4.1 Smart Cities and Urban IoT Systems
  4.2 Industrial IoT and Edge Automation
  4.3 Healthcare and Wearable IoT Devices
  4.4 Edge Computing in Smart Agriculture
  4.5 Edge-Enabled Intelligent Transportation Systems
  4.6 Edge-Assisted Augmented Reality and Virtual Reality
  4.7 Edge Computing for Environmental Monitoring

Chapter 5

: Performance Evaluation and Optimization
  5.1 Edge Computing Resource Utilization Metrics
  5.2 Quality of Service and Latency Optimization
  5.3 Edge System Reliability and Fault Tolerance
  5.4 Energy Efficiency and Sustainability
  5.5 Security and Privacy Assurance
  5.6 Scalability and Flexibility of Edge Systems
  5.7 Future Trends and Challenges in Edge Computing for IoT

  5.8 Conclusion