Internet of Things and Green Technologies for Smart Environment

This book showcases the use of the Internet of Things (IoT) for new applications in a smart environment. It further discusses the recent innovations and applications of artificial intelligence for managing environmental resources.

Key Features:

• Showcases how artificial intelligence and deep learning technologies can be applied to large-scale data analysis for environment monitoring, enabling accurate follow-up of critical ecosystem health.
• Discusses energy performance strategies and includes a wide range of strategies and technologies designed to reduce energy consumption and promote new energy production.
• Presents IoT innovative solutions that largely enhance environmental quality by enabling smart monitoring, data collection, and real-time analysis.
• Highlights how artificial intelligence is transforming energy management by providing new innovative solutions that optimize energy use, enhance efficiency, and facilitate the integration of renewable energy resources.
• Illustrates sustainable technologies and solutions that seek to decrease energy usage, minimize waste, and reduce carbon footprints through the careful utilization of natural resources over the entire computing system.

This book is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer science and engineering, environmental engineering, and information technology.

Mourade Azrour received his PhD from Faculty of Sciences and Techniques, Moulay Ismail University of Meknes, Morocco. He has received his MS in Computer and Distributed Systems from the Faculty of Sciences, Ibn Zouhr University, Agadir, Morocco in 2014. He currently works as a computer science professor at the Department of Computer Science, Faculty of Sciences and Techniques, Moulay Ismail University of Meknès. His research interests include authentication protocol, computer security, Internet of Things, smart systems, machine learning and so on. He is a member of the scientific committees of numerous international conferences. He is also a reviewer of various scientific journals. He has published more than 160 scientific papers and book chapters. He has edited more than ten scientific books, such as IoT and Smart Devices for Sustainable Environment and Advanced Technology for Smart Environment and Energy. He has also served as a guest editor in journals such as EAI Endorsed Transactions on Internet of Things, Tsingua Science and Technology, Applied Sciences MDPI, and Sustainability MDPI.

Abdulatif Alabdulatif is an assistant professor at the School of Computer Science & IT, Qassim University, Saudi Arabia. He obtained his PhD degree in Computer Science from RMIT University, Australia, in 2018. He received his BSc in Computer Science from Qassim University, Saudi Arabia, in 2008 and his MSc in Computer Science from RMIT University, Australia in 2013. He has published more than 70 academic papers in prominent journals. His research interests include applied cryptography, cloud computing, and e-health.