Artificial Intelligence and Sustainable Networks
Innovations Beyond 5G
1st Edition
Published on 20. May 2026
330 pages
978-1-040-62156-1 (ISBN)
Description
The rapid evolution of communication systems beyond 5G is driving a new era of intelligent, adaptive, and sustainable networks. This book, Artificial Intelligence and Sustainable Networks: Innovations Beyond 5G, presents a comprehensive exploration of how artificial intelligence (AI) is revolutionizing next-generation connectivity and enabling sustainable technological growth.
Covering a wide spectrum of emerging paradigms such as federated learning, smart agriculture,sustainable healthcare, energy-efficient architectures, green Internet of Things systems, and smart city frameworks, this volume highlights innovative approaches for building resilient and eco-conscious digital ecosystems.
Bridging theory and practice, the book offers in-depth insights into the integration of AI-driven decision-making with advanced wireless infrastructures, addressing key challenges of scalability, privacy, and environmental sustainability.
Explores the intersection of sustainable growth, green computing, automation, and performance optimization of wireless networks and 5G communication.
Provides extensive insight into how AI optimizes network management, enhances security, and improves performance.
Presents a comprehensive discussion on designing and operating sustainable networks with green technologies.
Showcases an analysis of policies and regulations promoting sustainable practices in network development.
Includes real-world examples and case studies, such as smart cities, smart agriculture, and autonomous vehicles.
It is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, telecommunication, computer science and engineering, and renewable energy.
Covering a wide spectrum of emerging paradigms such as federated learning, smart agriculture,sustainable healthcare, energy-efficient architectures, green Internet of Things systems, and smart city frameworks, this volume highlights innovative approaches for building resilient and eco-conscious digital ecosystems.
Bridging theory and practice, the book offers in-depth insights into the integration of AI-driven decision-making with advanced wireless infrastructures, addressing key challenges of scalability, privacy, and environmental sustainability.
Explores the intersection of sustainable growth, green computing, automation, and performance optimization of wireless networks and 5G communication.
Provides extensive insight into how AI optimizes network management, enhances security, and improves performance.
Presents a comprehensive discussion on designing and operating sustainable networks with green technologies.
Showcases an analysis of policies and regulations promoting sustainable practices in network development.
Includes real-world examples and case studies, such as smart cities, smart agriculture, and autonomous vehicles.
It is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, telecommunication, computer science and engineering, and renewable energy.
More details
Series
Edition
1. Auflage
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Product notice
Reflowable
Illustrations
42 Tables, black and white; 90 Line drawings, black and white; 4 Halftones, black and white; 94 Illustrations, black and white
File size
9,10 MB
ISBN-13
978-1-040-62156-1 (9781040621561)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
R. Krishnamoorthy | Kazuaki Tanaka | Mohamed S. Soliman
Artificial Intelligence and Sustainable Networks
Innovations Beyond 5G
Book
05/2026
1st Edition
CRC Press
€168.50
Shipment within 15-20 days
Persons
R. Krishnamoorthy is a distinguished professional with a robust academic background and significant contributions to the field of technology. He earned his Doctor of Philosophy in Wireless in 2019, showcasing his commitment to advancing knowledge in the realm of wireless technology. Prior to that, he completed a Master's in Embedded Systems in 2012, and a Bachelor's in Electronics and Communication in 2009. Currently, he is holding the esteemed position of Professor and Director at the Centre for Advanced Wireless Integrated Technology, Chennai Institute of Technology, Chennai, India. He plays a pivotal role in shaping the educational landscape and fostering innovation in wireless technology and is awarded Rank B Researcher by NICT (Ministry of Japan), host institute is Kyushu Institute of Technology, Fukuoka, Japan.
Kazuaki Tanaka is an esteemed Associate Professor at Kyushu Institute of Technology, specializing in intelligent and control systems. His innovative research in autonomous systems, robotics, and AI, coupled with his dedication to teaching and mentorship, has made him a respected figure in his field and academic community. Dr. Tanaka continues to push the boundaries of technology and education, inspiring the next generation of engineers and technologists. Dr. Kazuaki Tanaka's research encompasses advanced control algorithms for autonomous systems, particularly in robotics and unmanned aerial vehicles (UAVs). His work integrates artificial intelligence and machine learning to enhance the adaptability and decision-making capabilities of intelligent systems. He is also dedicated to exploring human-robot interaction, aiming to develop robots that can seamlessly integrate into human environments and assist in various tasks.
Mohamed S. Soliman is an Associate Professor in the Department of Electrical Engineering in the College of Engineering at Taif University, Saudi Arabia. He has obtained his Ph.D. in Communications Engineering from the Graduate School of Engineering at Osaka University, Japan. He was granted numerous research projects facilitated by the Deanship of Scientific Research at Taif University, Saudi Arabia. He has authored and co-authored over 170 papers, which are indexed in Scopus and WOS databases, alongside contributing to five book chapters. Dr. Soliman was honored as a Distinguished Researcher, identified among the top one hundred most active researchers, by the Deanship of Scientific Research at Taif University in 2023. Furthermore, he was honored with the Distinguished Researchers Supporting Project 2023, the Scientific Publication Reward 2023-2024, and the Distinguished Researcher Project as part of the Taif University-Distinguished Scientific Publishing Program and International Appearance (TU-DSPP-2024), administered by the Deanship of Postgraduates and Scientific Research at Taif University, Saudi Arabia.
Kazuaki Tanaka is an esteemed Associate Professor at Kyushu Institute of Technology, specializing in intelligent and control systems. His innovative research in autonomous systems, robotics, and AI, coupled with his dedication to teaching and mentorship, has made him a respected figure in his field and academic community. Dr. Tanaka continues to push the boundaries of technology and education, inspiring the next generation of engineers and technologists. Dr. Kazuaki Tanaka's research encompasses advanced control algorithms for autonomous systems, particularly in robotics and unmanned aerial vehicles (UAVs). His work integrates artificial intelligence and machine learning to enhance the adaptability and decision-making capabilities of intelligent systems. He is also dedicated to exploring human-robot interaction, aiming to develop robots that can seamlessly integrate into human environments and assist in various tasks.
Mohamed S. Soliman is an Associate Professor in the Department of Electrical Engineering in the College of Engineering at Taif University, Saudi Arabia. He has obtained his Ph.D. in Communications Engineering from the Graduate School of Engineering at Osaka University, Japan. He was granted numerous research projects facilitated by the Deanship of Scientific Research at Taif University, Saudi Arabia. He has authored and co-authored over 170 papers, which are indexed in Scopus and WOS databases, alongside contributing to five book chapters. Dr. Soliman was honored as a Distinguished Researcher, identified among the top one hundred most active researchers, by the Deanship of Scientific Research at Taif University in 2023. Furthermore, he was honored with the Distinguished Researchers Supporting Project 2023, the Scientific Publication Reward 2023-2024, and the Distinguished Researcher Project as part of the Taif University-Distinguished Scientific Publishing Program and International Appearance (TU-DSPP-2024), administered by the Deanship of Postgraduates and Scientific Research at Taif University, Saudi Arabia.
Content
Chapter 1. A BiLSTM-Random Forest Hybrid Model for Optimizing Energy Efficiency in Smart Grids. Chapter 2. A Hybrid Deep Learning Model (ResNet-GRU) for Smart Precision Farming over Next-Gen Rural Networks. Chapter 3. A Novel AI-Driven Connectivity Framework for Autonomous Transportation in 6G Environments. Chapter 4. A BiLSTM-Graph Neural Network Fusion for AI-Powered Remote Diagnosis and Monitoring in Sustainable Healthcare 6.0. Chapter 5. A LSTM-XGBoost Integrated Model for Smart Resilience Networks. Chapter 6. Sustainable Supply Chains: Leveraging AI and 6G for Transparent Logistics. Chapter 7. AI-Integrated Industrial IoT over Ultra-Reliable Networks. Chapter 8. Next-Gen Smart Health Centers: AI for Circular Economy and Urban Sustainability. Chapter 9. AI and XR Applications over Energy-Efficient Networks. Chapter 10. Financial Inclusion via AI and Low-Power 6G Mesh Networks. Chapter 11. Real-Time Data Integration over Sustainable Infrastructures. Chapter 12. A Predictive Intelligence Framework for Enhancing Consumer Behavior. Chapter 13. AI based Cascaded AutoEncoder-Convolutional Neural Network model for accurate crop yield prediction using remote sensing and climate data. Chapter 14. AI Based Assessing Climate Change Impacts on Public & Environmental Health: A Data Driven Approach to Risk and Resilience. Chapter 15. Big Data and Quantum Neural Network Based Reliable Safety Ensurity of Wireless Network
