Druck auf Anfrage Neuware - Printed after ordering - This book explores emerging interdisciplinary themes and applications reflecting advancements in Computational Intelligence (CI) for IoT and 5G networks. It is divided into four sections:Section 1 introduces Computational Intelligence and Sustainability Solutions for Next-Gen IoT Networks. Section 2 covers Optimization and Resilience Strategies for 5G-Enabled IoT Networks. Section 3 delves Intelligent Resource Allocation and Service Optimization in 5G IoT Networks. Section 4 presents Case studies on Applied Computational Intelligence and 5G IoT Innovations for Industry 4.0.This comprehensive work is essential for researchers and professionals interested in leveraging CI, IoT, and 5G technologies across diverse applications.

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Bibliographic Details

Title: Computational Intelligence Techniques for 5G Enabled IoT Networks
Publisher: Springer, Palgrave Macmillan
Publication Date: 2025
Language: English
ISBN 10: 3031827325
ISBN 13: 9783031827327
Binding: Buch
Condition: Neu
Dimensions: 285 millimeters width by 215 millimeters height by 21 millimeters depth
Weight: 941 grams

About this title

Synopsis

This book explores emerging interdisciplinary themes and applications reflecting advancements in Computational Intelligence (CI) for IoT and 5G networks. It is divided into four sections:

Section 1 introduces Computational Intelligence and Sustainability Solutions for Next-Gen IoT Networks. Section 2 covers Optimization and Resilience Strategies for 5G-Enabled IoT Networks. Section 3 delves Intelligent Resource Allocation and Service Optimization in 5G IoT Networks. Section 4 presents Case studies on Applied Computational Intelligence and 5G IoT Innovations for Industry 4.0.

This comprehensive work is essential for researchers and professionals interested in leveraging CI, IoT, and 5G technologies across diverse applications.

About the Author

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.

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