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Many reports estimate that in 2024, the number of IoT devices exceeded 18 billion worldwide, with predictions to reach 40 billion by 2033. The main objective of this peer-reviewed book is to capture the state-of-the-art in IoT and cover some of its challenges, solutions, and emerging technologies.
Sommario
PART I Concepts, Challenges, and TechniquesChapter 1 Internet of Things: Architectures, Technologies, Applications, and Challenges
Karolina Baras, Lina Brito and Qusay F. HassanChapter 2 Security and Privacy in Smart Homes: Challenges and Latest Developments
Dan Zhao, Qing Li, Qingsong Zou, Jingyu Xiao, Kaidong Wu, Ruoyu Li, Jianhui Lv, Yong Jiang and Keqin LiChapter 3 Enhancing IoT Security with Radio Frequency Fingerprinting: Traditional and Deep Learning¿Based Approaches
Bo Li and Ediz CetinChapter 4 Strengthening IoT Systems with Blockchain: Consensus Mechanisms and Security Enhancements
Yingsen Wang, Jun Zhao, Yan Qiang, Juanjuan Zhao and Keqin LiChapter 5 A Threat Analysis Framework for Cyberattacks in Smart Cities: Ransomware in Focus
Farnaz FaridPART II Novel Solutions and Applications
Chapter 6 Tackling Integration Challenges of Machine Learning in Diverse Internet of Things: A Spread¿Out Architectural Solution
Adarsha Bhattarai, Chathumi Samaraweera, Dongming Peng, Yutong Liu and Hamid SharifChapter 7 GeoSense: A Smart IoT¿Driven Framework for Landslide Monitoring in the Himalayas
Praveen Kumar, Abbas Husain, Priyanka Priyanka,Akshay Kumar, Sahil Sankhyan, Kala Venkata Uday and Varun DuttChapter 8 IoT¿MediGuard: An Advanced Monitoring and Predictive Analytics System for Transportation of Medical Supplies
Surbhi Ranga, Tushar Vasudev,Praveen Kumar, Sahil Sankhyan, Yashwant Kumar, Kala Venkata Uday and Varun DuttChapter 9 IoTMaxHRV: A Low¿Cost IoT Device for Heart Rate Variability Assessment
Yashwant Kumar, Ritu Kapur, Sahil Sankhyan, Premchand, Shivani Sharma, Arnav Bhavsar and Varun DuttPART III Emerging Technologies
Chapter 10 Split Learning and Synergetic Inference: When IoT Collaborates with the Cloud¿Edge Continuum
Joana Tirana and Dimitris ChatzopoulosPART III Emerging Technologies
Chapter 10 Split Learning and Synergetic Inference: When IoT Collaborates with the Cloud¿Edge Continuum
Joana Tirana and Dimitris ChatzopoulosChapter 11 Smart Radio Environments: An Emerging Paradigm for the Internet of Things
Akaa Agbaeze EtengChapter 12 RISC¿V: A Comprehensive Overview of an Emerging ISA for the AI¿IoT Era
Qusay F. Hassan and Assim SagahyroonPART IV Case Study
Chapter 13 India and the Internet of Things: Challenges and Opportunities for an Emerging Power
Aditya Kant GhisingGlossary
Info autore
Qusay F. Hassan, PhD, is an independent researcher and technology evangelist with over 20 years of practical experience in information communication technology (ICT). Throughout his career, he has held various roles in software development, IT services, and teaching. In his previous position as a systems analyst at the U.S. Agency for International Development (USAID), he actively contributed to the digital transformation initiative, helping adopt new technologies and implement innovative solutions across sectors. He received his PhD in computers and information sciences from Mansoura University, Egypt, in 2015. His technical experience and research interests span diverse areas, including software engineering, distributed systems, and big data. He has authored several publications and reviewed many articles and books in these areas. He is also the editor of several well-received academic books, including two volumes on IoT:
Internet of Things A to Z: Technologies and Applications, Second Edition (2025) and
Internet of Things: Challenges, Advances, and Applications (2017). He is a senior member of IEEE.
