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Full 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 IoT 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.
Features:
Explores the intersection of sustainable growth, green computing, automation, and performance optimization of wireless networks and 5G communication.
Provides extensive insight into how artificial intelligence optimizes network management, enhances security, and improves performance.
Presents 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.
Contents
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
