Low-Power Wide Area Network for Large Scale Internet of Things: Architectures, Communication Protocols and Recent Trends [Paperback]

1. Low-Power Wide Area Network for Large Scale IoT: Fundamentals, Technologies and Challenges. 2. LPWAN Communication based ML for IoT Networks. 3. Machine Learning and LPWAN based Internet of Things Applications. 4. A Study on IoT Networks and Machine Learning using Low-Power Wide Area Networks Technology. 5. Ad Hoc Aided Cellular Networks & LPWAN Applications: A Review. 6. LPWAN Technology for Demand Side Management. 7. AI-enabled Low-powered Wireless Area Networks for Quality Air. 8. Review of AI Techniques for LPWAN Sensors: Enhancing Efficiency and Intelligence. 9. SDN based Cloud Computing Secure Communication in IoT Systems. 10. Big Data Analytics for 6G-Enabled Massive Internet of Things. 11. Healthcare IoT Networks using LPWAN. 12. Internet of Things based Smart Healthcare Application using LoRa Network. 13. Deep-Learning Enabled Early Detection of COVID-19 Infection in IoMT Fog-Cloud Healthcare in LPWAN.

This book presents a comprehensive exploration of LPWANs, delving into their fundamental concepts, underlying technologies, and the multifaceted challenges they tackle.

Dr. Mariyam Ouaissa is currently an Assistant Professor in Networks and Systems at ENSA, Chouaib Doukkali University, El Jadida, Morocco. She received her Ph.D. degree in 2019 from National Graduate School of Arts and Crafts, Meknes, Morocco and her Engineering Degree in 2013 from the National School of Applied Sciences, Khouribga, Morocco. She is a communication and networking researcher and practitioner with industry and academic experience. Dr Ouaissa's research is multidisciplinary that focuses on Internet of Things, M2M, WSN, vehicular communications and cellular networks, security networks, congestion overload problem and the resource allocation management and access control. She is serving as a reviewer for international journals and conferences including as IEEE Access, Wireless CommunicalƒW