Intelligent Mobile and IoT Ecosystems by Kavitha Devi, M. K.; Murugan, Thangavel; Indira, K.;

Rövid leírás:

This book explores how cloud computing, fog computing, edge computing, and artificial intelligence (AI) come together to form an intelligent mobile and IoT ecosystem. This book is for researchers, engineers, and practitioners interested in mobile and IoT ecosystems.

Hosszú leírás:

How are cloud computing, fog computing, edge computing, and artificial intelligence (AI) working together to create intelligent mobile and IoT ecosystems? The fundamental concepts and practical uses of these technologies, showing their transformative effects across different industries, are covered in Intelligent Mobile and IoT Ecosystems. 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, and 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.

Tartalomjegyzék:

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. Machine Learning for IoT and Mobile: Trends and Future Diurections 8. Deep Learning Models for Intelligent IoT Ecosystems 9. Integration of Mobile Edge Computing and Artificial Intelligence for Distributed Learning Approaches 10. Collaborative Intelligence in IoT Ecosystems  11. Security and Privacy in Intelligent Mobile and IoT Systems  12. AI and IoT Innovations Transforming Industries and Enhancing Urban Sensibility 13. Energy-Efficient Edge AI for Smarter Mobile and IoT Systems 14. Fostering Ethical Leadership and Sustainable Innovation in Intelligent Mobile and IoT Ecosystems 15. Future Aspects of BC-IoT: Integrating Blockchain with Mobile and IoT Ecosystem