Low-Power Wide Area Network for Large Scale Internet of Things Architectures, Communication Protocols and Recent Trends Prospects in Networking and Communications – P-NetCom Series

This book presents a comprehensive exploration of LPWANs, delving into their fundamental concepts, underlying technologies, and the multifaceted challenges they tackle. This book recognizes that LPWANs don't operate in isolation; they are intimately intertwined with Artificial Intelligence and Machine Learning (AI/ML) technologies, which play a pivotal role in optimizing LPWAN performance and capabilities. The book is a collection of original contributions regarding air interface, transmission technologies and novel network architectures, such as network slicing, cloud/fog/edge computing, ad hoc networks and software-defined network. Also, this book provides a guide for researchers of IoT applications to choose suitable LPWAN technologies and describe the design aspects, network architectures, security issues and challenges.

Features:

• Explains machine learning algorithms onto low-power wide area network sensors for compressed communications.
• Illustrates wireless-based Internet of Things networks using low-power wide area networks technology for quality air.
• Presents cognitive Internet of Things networks using wireless communication, and low-power wide area network technologies for Ad Hoc networks.
• Discusses a comprehensive study of low-power wide area networks for flying Ad Hoc networks.
• Showcases the study of energy efficient techniques aided by low-power wide area network technologies for the Internet of Things networks.

The text is aimed at senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology.

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.

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 Communications and Mobile Computing. Since 2020, she is a member of "International Association of Engineers IAENG" and "International Association of Online Engineering", and since 2021, she is an "ACM Professional Member". She has published more than 30 research papers (this includes book chapters, peer-reviewed journal articles, and peer-reviewed conference manuscripts), 10 edited books, and 6 special issue as guest editor. She has served on Program Committees and Organizing Committees of several conferences and events and has organized many Symposiums / Workshops / Conferences as a General Chair.

Dr. Mariya Ouaissa Dr. Mariya Ouaissa is currently a Professor in Cybersecurity and Networks at Faculty of Sciences Semlalia, Cadi Ayyad University, Marrakech, Morocco. She is a Ph.D. graduated in 2019 in Computer Science and Networks, at the Laboratory of Modelisation of Mathematics and Computer Science from ENSAM-Moulay Ismail University, Meknes, Morocco. She is a Networks and Telecoms Engineer, graduated in 2013 from National School of Applied Sciences Khouribga, Morocco. She is a Co-Founder and IT Consultant at IT Support and Consulting Center. She was working f