Modern Wireless Communication Systems and Networks

Chapter 1. Digital twin-based generative artificial intelligence of things for 6G wireless sensor networks. Chapter 2. Real-Time Workplace Safety Detection using Raspberry PI 5 and Jetson Nano with Computer Vision. Chapter 3. Software Defined Radio (SDR): Experimental Opportunities and Research Challenges. Chapter 4. Improving Efficiency and Innovation in Non-Orthogonal Multiple Access (NOMA) with RIS Techniques and its Future Scope. Chapter 5. Advanced Path Loss Estimation at 5.8 GHz in Heterogeneous Urban Environments Through Hybrid Modelling and Machine Learning. Chapter 6. Energy Management Challenges and Clustering Approaches in Wireless Sensor Networks. Chapter 7. Innovations in Non-Orthogonal Multiple Access with RIS Techniques. Chapter 8. Cradle-Care: Enhancing Baby Safety Using IoT. Chapter 9. Resilient Communication Frameworks: Enhancing Disaster Response with Energy-Efficient MANETs. Chapter 10. UAV-Assisted Wireless Networks: Exploration and Deployment Strategies. Chapter 11. Design and Development of Wireless Personal Area Networks. Chapter 12. Implementation Challenges in Wireless Sensor Networks. Chapter 13. Technical Barriers in Wireless Sensor Networks: Deployment Challenges and Emerging Solutions. Chapter 14. Design and Development of Antennas for Next-Generation Wireless Communication Systems. Chapter 15. A Comparative Analysis of Empirical and Machine Learning Models for LoRa Path Loss Prediction at 915MHz in an NLOS Urban Canyon. Chapter 16. Fuzzy AI-Driven Intelligent Agents for Intrusion Detection in Wireless Sensor Networks: A Cybersecurity Framework Using WSN-DS Dataset. Chapter 17. Distributed Deep Reinforcement Learning Enabled Spectrum and Resource Allocation in 6G Wireless Networks. Chapter 18. Integration of Machine Learning and Deep Learning in Wireless Networks