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

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. She has authored books and chapters in renowned publications. She is the pride recipient of the “Best Computer Science Faculty Award” of ASDF Global Award. She has organized many funded workshops, seminars and conference in her institution. Under her guidance, 9 Ph.D. scholars have completed, and 1 Ph.D. scholars are pursuing their research work. Currently, she is a Professor at Department of Computer Science and Engineering, Thiagarajar College of Engineering, Madurai.

Thangavel Murugan is a Senior IEEE member serving as an Assistant Professor in the Department of Information Systems and Security, College of Information Technology, and as an Faculty Fellow in the Center for Excellence in Teaching and Learning, United Arab Emirates University, Abu Dhabi, United Arab Emirates. He received Doctorate from Madras Institute of Technology (MIT) Campus, Anna University – Chennai. He received Post Graduate degree as M.E. Computer Science and Engineering from J.J. College of Engineering and Technology, Trichy under Anna University – Chennai (University First Rank Holder & Gold Medalist) and Bachelor’s degree as B.E. Computer Science and Engineering from M.A.M College of Engineering, Trichy under Anna University – Chennai (College First Rank Holder & Gold Medalist). He presently holds 12+ years of Teaching and Research experience from various academic institutions. He has published 15+ articles in International Journals, 7+ edited books, 3+ authored books, 20+ book chapters in International Publications, 5+ patents, 45+ in the proceedings of International Conferences and 3 in the proceedings of national conferences /seminars. He has been actively participating as reviewers in the international journals and conferences. He has attended 100+ Workshops / FDPs/Conferences in various Higher Learning Institutes like IIT, Anna University. He has organized 50+ Workshops / FDPs /Contests/Industry based courses over the past years of experience. He has been a technical speaker in various Workshops/FDPs/Conferences. His research specialization is Information Security, Cloud Computing, Ethical Hacking, Cyberforensics, Blockchain, AI Applications and Educational Technology.

K. Indira is an Assistant Professor at Thiagarajar College of Engineering (TCE), 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 multicloud recommender systems. Actively engaged in intellectual property rights through TCE-IPR cell, she spearheads the IT Department Association Community, IT-Alumni Club, and serves in the Siemens MoU Center for Excellence. Her expertise spans Cloud Computing, Recommender Systems, C#/.NET, Service-Oriented Computing, and Software-Defined Networking. Her continuous learning includes workshops at IIT Delhi, MIT, and CDAC Chennai and Bangalore. She is a professional member of ACM and IIC, and she initiated and continues to lead TECHUTAV, a National Level Technical Forum, along with launching a mobile application on the Play Store.

Raja Lavanya is working as 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. She has authored books chapters in renowned publications.

S.Abinaya is working as Assistant Professor in the Department of Computer Science and Engineeing in 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. Her current areas of interest include Recommender System. She has published more than 20 papers in reputed international journals and conferences.