1st Edition
Swarm Intelligence Theory and Applications in Fog Computing, Beyond 5G Networks, and Information Security
Preface
1. Resource Management in Fog Computing: Overview and Mathematical Foundation
Surayya, A., Md. Muzakkir Hussain, V. Dinesh Reddy, Ahsan Halimi and Firoj Gazi
Introduction
Resource Categorization in Fog Computing
Resource Profiling
Resource Management Sub-Problems
Types of Optimization Problems
Solving Resource Management Problems using Reduction to Standard Optimization Problems
Leveraging Vehicular Fog Computing for Object Detection in Automatic Vehicles: A Case Study
Conclusion
2. Swarm Intelligence in IoT and Edge Computing
Reddy Priya Madupuri, Sobin, C.C., Murali Krishna Enduri and Satish Anamalamudi
Introduction
Fundamentals of Swarm Intelligence
Challenges and Opportunities in IoT and Edge Computing
Applications of Swarm Intelligence in IoT and Edge Computing
Integration with Machine Learning and Deep Learning
Experimental Analysis
Future Directions
Conclusion
3. Optimal Deployment of Multiple IoT Applications on the Fog Computing: A Metaheuristic-Based Approach
Sai Sri Ram Kumar Macha, Pavan Kumar Chinta, Prajwal Katakam, Muzakkir Hussain, Ilche Georgievski and
V. Dinesh Reddy
Introduction
Related Work
Background
Proposed Method
Performance Evaluation
Concluding Remarks
Future Work
4. Machine Learning and Deep Learning with Swarm Algorithms
Mutupuri Shiva Shankar, Sruthi Sivarajan, Anil Carie, Satish Anamalamudi and Sobin, C.C.
Introduction
Swarm Algorithms Fundamentals
Integrating Swarm Algorithms with Machine Learning
Swarm Algorithms in Deep Learning
Case Studies in Optimizing Deep Neural Networks
Experimental Results
Challenges and Limitations
Future Development Prospects and Areas for Further Investigation
Conclusion
5. Search and Rescue Using UAV SWARM in Disaster Management: A Survey
Prakarsh Srivastava and J. Sathish Kumar
Introduction
UAV Components and Applications
Operations and Algorithms
Challenges and Future Scope
Conclusion
6. Trust Based Access Control in IoT Network
Rudra Krishnasrija, Sindhu Sankati, Lakshmi Sravani Popuri, Nikhitha Chava and Amit Kr. Mandal
Introduction
Related Works
Trust Based Access Control in IoT Network
Results and Discussion
Concluding Remarks
Future Work
Chandramohan Dhasarathan, Ramachandra Reddy B. and Diwakar Tripathi
Introduction
Privacy Dilemmas in Fog Computing Landscape
Literature Study
Proposed Encryption Technique for Distributed Fog Computing
Result Analysis
Conclusion
8. Attack Resilient Authentication Scheme for Fog-centric IoT Device Systems
Irfan Alam, Zubair Ashraf and Chour Singh Rajpoot
Introduction
Literature Review
Preliminaries
Proposed Framework
Security Analysis
Conclusion
9. Navigating Ethical Challenges
Wasim Khan and Mohammad Ishrat
Introduction
Technical Foundations
Ethical Implications of Integrating Swarm Intelligence in Fog Computing
Ethical Frameworks in Emerging Technologies
Implementing Ethical Practices
Case Studies: Ethical Dilemmas and Resolutions
Future Directions and Challenges
Conclusion
10. A Robust DIW Approach for UAV Image Transmission Using PSMD Encryption
Jose Santamaria Lopez, A. Sai Vasanthi, Manisha Velaga, Akula Narendra Kumar, B. Kavya, Vinsha Shaik and Priyanka S.
Introduction
Motivation and Contribution
Related Works
Proposed Work
Experimental Result and Analysis
Conclusion
Biography
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.
