Intelligent Mobile and Iot Ecosystems

Bridging Cloud, Fog, Edge, and AI
1. Auflage 2026
ISBN: 978-1-041-00194-2
Verlag: CRC Press

Buch, Englisch, 280 Seiten, Format (B × H): 178 mm x 254 mm

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.

Zielgruppe

Academic

Autoren/Hrsg.

Kavitha Devi, M K

Murugan, Thangavel

Indira, K.

Lavanya, Raja

Abinaya, S.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware
• Mathematik | Informatik EDV | Informatik Professionelle Anwendung Computersimulation & Modelle, 3-D Graphik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Cloud-Computing, Grid-Computing
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge

Inhaltsverzeichnis

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.

Über Autor(innen)

M.K. Kavitha Devi received her B.E. and M.E. in Computer Science and Engineering, and her Ph.D. in Information and Communication Engineering in 1994, 2004, and 2011, respectively. Her research focuses on Recommender Systems, Cloud Computing, Theoretical Computation, Image Analytics, Information Security, and Steganalysis. She has published more than 50 papers in reputed international journals and conferences and has authored books and chapters with renowned publishers. She is the proud recipient of the “Best Computer Science Faculty Award” from the ASDF Global Awards.

Thangavel Murugan (Senior Member – IEEE) serves as an Assistant Professor in the Department of Information Systems and Security at the College of Information Technology, United Arab Emirates University. His academic and research specializations include Information Security, High-Performance Computing, Ethical Hacking, Cyberforensics, Blockchain, Cybersecurity Intelligence, and Educational Technology.

K. Indira is an Assistant Professor at Thiagarajar College of Engineering (TCE) in Madurai, specializing in Information Technology since June 2012. She holds a Ph.D. in Information and Communication Engineering from Anna University, Chennai, focusing on an efficient machine learning model for multi-cloud recommender systems.

Raja Lavanya works as an Assistant Professor in the Department of Computer Science and Technology. She received her B.E. and M.E. in Computer Science and Engineering, and her Ph.D. in Information and Communication Engineering in 2009, 2012, and 2023, respectively. Her current areas of interest include IoT and security systems. She has published more than 20 papers in reputed international journals and conferences and has authored book chapters with renowned publishers. S. Abinaya works as an Assistant Professor in the Department of Computer Science and Engineering at VIT Chennai. She received her B.E. and M.E. in Computer Science and Engineering, and her Ph.D. in Information and Communication Engineering in 2009, 2012, and 2023, respectively.