1st Edition
Modern Wireless Communication Systems and Networks Design, Practice, and Implementation
Chapter 1. Digital twin-based generative artificial intelligence of things for 6G wireless sensor networks
Xavier Fernando, George Lăzăroiu, and Katarina Valaskova
Chapter 2. Real-Time Workplace Safety Detection using Raspberry PI 5 and Jetson Nano with Computer Vision
Kopperundevi N and Melwin Biju Kalayil
Chapter 3. Software Defined Radio (SDR): Experimental Opportunities and Research Challenges
Sudipta Dey, Sreya Ghosh, and Arijeet Ghosh
Chapter 4. Improving Efficiency and Innovation in Non-Orthogonal Multiple Access (NOMA) with RIS Techniques and its Future Scope
BMR Manasa, Budhaditya Bhattacharyya, Vijayakumar Kondepogu, and Thammanapudi Ravindra
Chapter 5. Advanced Path Loss Estimation at 5.8 GHz in Heterogeneous Urban Environments Through Hybrid Modelling and Machine Learning
Alejandro Rommel Miranda Saravia, Leoni Marti Miranda Saravia, Marcelo Molina Silva, and Leonardo H. Gonsioroski
Chapter 6. Energy Management Challenges and Clustering Approaches in Wireless Sensor Networks
Lavanya M. Deepa A., and Shweta B Thomas
Chapter 7. Innovations in Non-Orthogonal Multiple Access with RIS Techniques
Umer Ashraf
Chapter 8. Cradle-Care: Enhancing Baby Safety Using IoT
Subhadipa De, Debnath Deogharia, Mohona De, and Prasun Chowdhury
Chapter 9. Resilient Communication Frameworks: Enhancing Disaster Response with Energy-Efficient MANETs
Deepika Rani Sona, Anubhuti Tewari, Kalapraveen Bagadi, and Shweta B Thomas
Chapter 10. UAV-Assisted Wireless Networks: Exploration and Deployment Strategies
Nirmalya Das, and Bijoy Kumar Upadhyaya
Chapter 11. Design and Development of Wireless Personal Area Networks
Arijit De, Sukanta Ghosh, Sodunke Mobolaji Aduramo, Akoma Dupsy Blessing, and Umesh gupta and Karthika Balan
Chapter 12. Implementation Challenges in Wireless Sensor Networks
Lijo V P, Jasmin T Jose and Vijina Vijayan
Chapter 13. Technical Barriers in Wireless Sensor Networks: Deployment Challenges and Emerging Solutions
Md. Kamaruzzaman and Abhijit Chandra
Chapter 14. Design and Development of Antennas for Next-Generation Wireless Communication Systems
Gobinath A, Rajeswari P, Anandan M, Suresh Kumar N, and Andal L
Chapter 15. A Comparative Analysis of Empirical and Machine Learning Models for LoRa Path Loss Prediction at 915MHz in an NLOS Urban Canyon
Esprella Quiroga, Horacio Alessandro and Molina Silva, Marcelo
Chapter 16. Fuzzy AI-Driven Intelligent Agents for Intrusion Detection in Wireless Sensor Networks: A Cybersecurity Framework Using WSN-DS Dataset
Firos A, and Seema Khanum
Chapter 17. Distributed Deep Reinforcement Learning Enabled Spectrum and Resource Allocation in 6G Wireless Networks
Sreya Ghosh, Sudipta Dey, and Arijeet Ghosh
Chapter 18. Integration of Machine Learning and Deep Learning in Wireless Networks
Heba Alawneh and Hamza Alkofahi
Biography
Budhaditya Bhattacharyya is currently working as Professor at School of Electronics Engineering (SENSE), Vellore Institute of Technology (VIT), Vellore. His current research interests include deep learning-based channel estimation strategies for Next Generation wireless networks and intrusion detection analysis for 5G networks.
Anindita Kundu is an Associate Professor in the Department of Software Systems, School of Computer Science and Engineering, of Vellore Institute of Technology, Vellore. Her current research interests include Robotic Path Planning, Internet of Things and Opportunistic Networks.
Ananthakrishna Chintanpalli is currently a Professor at the Department of Communication Engineering, School of Electronics Engineering, Vellore Institute of Technology (VIT), Vellore. His research interests include signal processing, bio-medical signal processing, auditory modeling to predict speech recognition scores, psychoacoustics, speech processing, and deep neural networks.
Xavier Fernando is a Professor at Toronto Metropolitan University (TMU), Canada. His area of research is application of machine learning and artificial intelligence to resolve various engineering and IoT challenges.
