Computational Intelligence Techniques for 5G Enabled IoT Networks

Dr. Mohit Kumar is Assistant Professor in the Department of Information Technology at Dr. B R Ambedkar National Institute of Technology, Jalandhar, India. He received his Ph.D. degree from Indian Institute of Technology Roorkee in the field of Artificial Intelligence and Cloud Computing, 2018. His research topics cover the areas of Cloud Computing, Fog/ Edge Computing, Internet of Things, Federated Learning, Blockchain, and Artificial Intelligence. He has published more than 70 research articles in reputed journals, IEEE Transactions, and international conferences. He has been listed prestigious Top 2% of Scientists in the world (2023, 2024) announced by Elsevier and Stanford University, United States.Sukhpal Singh Gill (FHEA) is an Assistant Professor of Cloud Computing at the School of Electronic Engineering and Computer Science, Queen Mary University of London, UK. Dr. Gill is serving as an Editor-in-Chief for IGI Global IJAEC and Area Editor for Springer Cluster Computing Journal, also serving as an Associate Editor in IEEE IoT, Elsevier IoT, Wiley SPE, Wiley ETT and IET Networks Journals. His research interests include Cloud Computing, Edge Computing, IoT and Energy Efficiency. Dr. Vijay Kumar is Associate Professor in Information Technology Department, Dr. B.R. Ambedkar NIT Jalandhar. He received his Ph.D. degree from NIT Kurukshetra. He completed 2 DST SERB and 1 CSIR sponsored research projects. He has published more than 180 research papers in international journals/conferences. He has many book chapters in international repute publishers. He is Member of ACM, CSI, International Association of Engineers, International Association of Computer Science and Information Technology, Singapore. His current research area is Soft Computing, Data Mining, Deep Learning, Steganography, and Pattern Recognition. Prabal Verma is currently working as Assistant Professor in Information Technology Department, National Institute of Technology (NIT), Srinagar, Jammu and Kashmir India. He did his Ph.D. and M.Tech in Computer Science and Engineering from Guru Nanak Dev University, Amritsar. His work is published in highly reputed publishers like IEEE Transactions, Elsevier, Wiley, Taylor and Francis, and Springer. His current working research areas include Internet of Things (IoT) in Healthcare, Big Data, Medical Cyber Physical Systems and Fog-Cloud Computing.

• Part I. Computational Intelligence and Sustainability Solutions for Next-Gen IoT Networks.- Chapter 1. Computational Intelligence based Carbon Neutral Wireless Networks for Edge Cloud Continuum.- Chapter 2. AI/ML: Developing Algorithms for Handling Imbalanced Datasets in Classification Tasks.- Chapter 3. A Novel Algorithm for Digital Twin Accuracy.- Chapter 4. Google Cloud Spanner based Data Management Application for Smart Gaming Industry.- Part II. Optimization and Resilience Strategies for 5G-Enabled IoT Networks.- Chapter 5. Next Generation Cloud Security Paradigm: Orchestrating Cutting-Edge Machine Learning for DDoS Attack Detection Through Robust Optimization Algorithm.- Chapter 6. Role of Cognitive Radio in 5G Enabled IoT Networks.- Chapter 7. Influence of Soft Computing Techniques in Autonomous Vehicles.- Chapter 8. Disaster Resilience Communication through Optimized-UAV Enabled 5G Networks with D2D Communication.- Part III. Intelligent Resource Allocation and Service Optimization in 5G IoT Networks.- Chapter 9. Computational Intelligence based Optimal Service Placement in Fog-enabled IoT Networks.- Chapter 10. A study on Microservice Placement in the IoT-Fog Networks.- Chapter 11. Realtime IoT Offloading decision Strategy.- Chapter 12. IoT-Enabled 5G Smart Healthcare: Changing Patient Care and Connectivity.- Part IV. Case studies on Applied Computational Intelligence and 5G IoT Innovations for Industry 4.0.- Chapter 13. Revolutionizing Agriculture: 5G-Enabled IoT Networks for Smart Farming.- Chapter 14. Real-Time Monitoring and Disease Detection in Greenhouses Using IoT and Deep Learning.- Chapter 15. Deep Learning-Driven IoT Framework for Detecting Pancreatic Neuroendocrine Tumors.- Chapter 16. Amalgamation of Computational Intelligence and 6G-enabled AIoT networks for Industry 4.0.