Full Description
This book examines how cloud computing, fog computing, edge computing, and artificial intelligence (AI) work together to create an intelligent mobile and IoT ecosystem. It covers the fundamental concepts and practical uses of these technologies, showing their transformative effects across different industries. The book starts with an overview of the core principles of cloud, fog, and edge computing, along with AI, giving a clear understanding of their roles in today's digital world. It explains how these technologies collaborate to improve real-time data processing, security, and user experiences in mobile and IoT settings.
• Theoretical foundations and practical applications of intelligent mobile and IoT systems, focusing on the interaction among cloud, fog, edge computing, and AI.
• Detailed case studies and applications showing successful implementations across different industries.
• Insights into how deep learning models are adapted and applied for IoT environments to improve system intelligence and efficiency.
• A dedicated focus on mobile edge intelligence and its role in enabling smart decision-making at the network's edge.
• Addressing key aspects of security, including secure communication protocols and privacy-preserving methods.
With a strong emphasis on real-world applications and case studies, this book is intended for researchers, engineers, and practitioners who have a comprehensive understanding of integrating cloud, fog, edge, and AI technologies within mobile and IoT ecosystems.
Contents
1. Introduction to Mobile and IoT Ecosystems 2. Understanding Cloud Computing in the Mobile and IoT Context 3. Fog Computing: Extending Cloud to the Edge 4. Edge Computing: Empowering Real-Time Decision Making 5. The Role of Artificial Intelligence in Mobile and IoT Ecosystems 6. Machine Learning for Mobile and IoT Applications 7. Deep Learning Models for Intelligent IoT Ecosystems 8. Mobile Edge Intelligence in Real-World Applications 9. Collaborative Intelligence in IoT Ecosystems 10. Security and Privacy in Intelligent Mobile and IoT Systems 11. Case Studies and Use Cases of Intelligent Mobile and IoT Ecosystems 12. Future Perspectives and Emerging Trends in the Field.
