This book offers a comprehensive overview of the theory and practical applications of swarm intelligence in fog computing, beyond 5G networks, and information security. The introduction section provides a background on swarm intelligence and its applications in real-world scenarios. The subsequent chapters focus on the practical applications of swarm intelligence in fog-edge computing, beyond 5G networks, and information security. The book explores various techniques such as computation offloading, task scheduling, resource allocation, spectrum management, radio resource management, wireless caching, joint resource optimization, energy management, path planning, UAV placement, and intelligent routing. Additionally, the book discusses the applications of swarm intelligence in optimizing parameters for information transmission, data encryption, and secure transmission in edge networks, multi-cloud systems, and 6G networks. The book is suitable for researchers, academics, and professionals interested in swarm intelligence and its applications in fog computing, beyond 5G networks, and information security. The book concludes by summarizing the key takeaways from each chapter and highlighting future research directions in these areas.
This book provides an overview of the theory and practical applications of swarm intelligence in fog computing, beyond 5G networks, and information security.
Preface. Resource Management in Fog Computing: Overview and Mathematical
Foundation. Swarm Intelligence in IoT and Edge Computing. Optimal Deployment
of Multiple IoT Applications on the Fog Computing: A Metaheuristic-Based
Approach. Machine Learning and Deep Learning with Swarm Algorithms. Search
and Rescue Using UAV SWARM in Disaster Management: A Survey. Trust Based
Access Control in IoT Network. Safeguarding User Privacy at the Edge of Fog
Computing Networks in Decentralized Distributed Computing. Attack Resilient
Authentication Scheme for Fog-centric IoT Device Systems. Navigating Ethical
Challenges. A Robust DIW Approach for UAV Image Transmission Using PSMD
Encryption. References. Index.
V. Dinesh Reddy has about 10 years of experience in academia and industrial research as an AI consultant. His research interests lie in Cloud/ Edge Computing, Quantum computing, AI&ML.
Md. Muzakkir Hussain is an Assistant Professor at SRM University, AP. He has made significant contributions in the field of Artificial Intelligence, Blockchain, IoT/IoV, and Cloud-Fog Computing.
Priyanka Singh is an Associate professor at SRM University, AP, India. Her research interests include Image Processing, Watermarking, Image Forensics, IoT, Artificial Intelligence and Machine Learning.
