Internet of Things and Big Data Analytics for a Green Environment

This book studies the evolution of sustainable green smart cities and demonstrates solutions for green environmental issues using modern industrial IoT solutions. It is a ready reference with guidelines and a conceptual framework for context-aware product development and research in the IoT paradigm and Big Data Analytics for a Green Environment. It brings together the most recent advances in IoT and Big Data in Green Environments, emerging aspects of the IoT and Big Data for Green Cities, explores key technologies, and develops new applications in this research field. Key Features: . Discusses the framework for development and research in the IoT Paradigm and Big Data Analytics. . Highlights threats to the IoT architecture and Big Data Analytics for a Green Environment. . Present the I-IoT architecture, I-IoT applications, and their characteristics for a Green Environment. . Provides a systematic overview of the state-of-the-art research efforts. . Introduces necessary components and knowledge to become a vital part of the IoT revolution for a Green Environment. This book is for professionals and researchers interested in the emerging technology of sustainable development, green cities, and Green Environment.

Yousef Farhaoui is a professor at Moulay Ismail University, Faculty of Sciences and Techniques, Morocco. He is the Chair of the IDMS Team and the Director of STI Laboratory. He obtained his Ph.D. degree in Computer Security from Ibn Zohr University of Science. He has authored 15 books and several book chapters. He is a senior member of IEEE, IET, ACM, and EAI. Bharat Bhushan is an assistant professor of the Department of Computer Science and Engineering (CSE) at the School of Engineering and Technology, Sharda University, Greater Noida, India. For the three consecutive years (2021-2023), Stanford University (USA) listed Dr. Bharat Bhushan in the top 2% of scientists list. Nidhi Sindhwani is currently working as an assistant professor at Amity School of Engineering and Technology Delhi, Amity University, Noida, India. She has done her Ph.D.(ECE) from Punjabi University, Patiala, Punjab, India. She has more than 15 years of teaching experience. She has published 3 book chapters in reputed books, 10 papers in Scopus/SCIE Indexed Journals, and 4 patents. Rohit Anand is currently working as an assistant professor (Group-A Gazetted Officer) in the Department of Electronics and Communication Engineering at G. B. Pant DSEU Okhla-1 Campus (formerly G.B. Pant Engineering College), Government of NCT of Delhi, New Delhi, India. Agbotiname Lucky Imoize is a lecturer in the Department of Electrical and Electronics Engineering at the University of Lagos, Nigeria. His research interests cover the fields of 6G wireless communication, wireless security systems, and artificial intelligence. He has published 10 books in these fields. He is a Fulbright research fellow, PTDF and DAAD scholar, and Marie Curie researcher. He is the vice chair of the IEEE Communication Society, Nigeria chapter, a registered engineer, and a senior member of the IEEE. Anshul Verma is currently working as an assistant professor in the Department of Computer Science, Institute of Science, Banaras Hindu University Varanasi, India. His research interests include distributed systems, cloud/edge computing, mobile ad-hoc networks, and formal verification. He is serving as Editor of the Journal of Scientific Research of the Banaras Hindu University.

Chapter 1: IoT-Enabled Sustainable Urban Growth Management. Chapter 2: Enhancing IoT Data Quality Validation in Medical Field through Big Data. Analytics. Chapter 3: Machine Learning based Driver Assistance System Ensuring Road Safety for Smart Cities. Chapter 4: Privacy and Security Issues in Big Data and Internet of Things. Chapter 5: Big Mart Sales Forecasting: A case Study of Big Data Analytics and Machine Learning. Chapter 6: Challenges and Opportunities for Cleaner Energy and Green Environment. Chapter 7: A Text-based Approach for Product Clustering and Recommendation in E-Commerce using Machine Learning. Chapter 8: How Multimodal AI and IoT are Shaping the Future of Intelligence. Chapter 9: Digitally-Enabled Labor Market: The Dark Side of Digital Transformation. Chapter 10: Artificial Intelligence Capability for Auditing. Chapter 11: Smart Green Cities Using IoT-Based Deep Reinforcement Learning Energy Management. Chapter 12: Technology Driven Learning System in Higher Education: A Bibliometric Analysis. Chapter 13: A Time-varying JSON Data Model and its Query Language for the Management of Evolving Green Things in IoGT-based Systems. Chapter 14: Enhancing Financial Transaction Security: A Deep Learning Approach for E-Payment Fraud Detection. Chapter 15: Efficient Solar Radiation Prediction through Adaptive Neighborhood Rough Set-Based Feature Selection in Meteorological Streaming Data in Errachidia, Morocco. Chapter 16: Artificial Intelligence-Empowered Date Palm Disease and Pest Management: Current Status, Challenges, and Future Perspectives. Chapter 17: Trends in Green Technology for Clean Energy. Chapter 18: Enhancing Wireless Network Performance Through High-Quality Fiber Optic Deployment in Highway Environments.