Emerging Technologies and the Application of WSN and IoT: Smart Surveillance, Public Security, and Safety Challenges (Prospects in Smart Technologies)

This book presents a top-down investigation into the aspects that are influencing the development of smart cities and considers key elements including smart surveillance, public security, and strategic issues, along with science, engineering, and development. Emerging Technologies and the Application of WSN and IoT: Smart Surveillance, Public Security, and Safety Challenges examines key areas, problems, and practical hurdles, offering case studies illustrating unique ideas and possibilities, as well as other elements influencing the creation of realistic situations for smart surveillance. Emphasizing new technologies, designs, and algorithms, the book aids in hastening the development of smart city ideas and provides in-depth information about the technical, legal, and security issues that are raised when humans and artificially intelligent machines are enhanced by technology. Real-world applications, smart city technologies, massive data handling and machine learning prediction approaches, and safety challenges make this a book that any researcher or student would be pleased to own. This book is ideal for academicians, researchers, advanced-level students, and engineers who are interested in the advancements in brain-computer interfaces and applications of human-computer in the real world. The Internet of Things (IoT) has numerous applications, including smart cities, industries, cloud-based apps, smart homes, and surveillance.The Internet of Things (IoT) enables smarter living by connecting devices, people, and objects. As networking became a crucial aspect of the Internet, rigorous design analysis led to the development of new research areas.The Internet of Things has revolutionized daily living in countless ways. It enables communication between buildings, people, portable gadgets, and vehicles, facilitating mobility. Smart cities and cloud-based data have transformed corporate practices. With billions of connected gadgets, everything will soon be able to communicate remotely. IoT networks, whether public or private, rely significantly on machine learning and software-defined networking. Indian and other governments have approved various research projects on IoT-based networking technologies. This field of study will significantly impact society in the future.Researchers are concerned about the many application areas and driving forces behind smart cities. The authors aim to provide insights into software-defined networking, artificial intelligence, and machine learning technologies used in IoT and networking. The framework focuses on practical applications and infrastructures. The book includes practical challenges, case studies, innovative concepts, and other factors that impact the development of realistic scenarios for smart surveillance. It also highlights innovative technology, designs, and algorithms that can accelerate the creation of smart city concepts.This resource includes real-world applications and case studies for smart city technology, enormous data management, and machine learning prediction, all with confidentiality and safety problems. Cover Half Title Series Page Title Page Copyright Page Contents Preface Acknowledgements Editor Biography Contributor Biographies Chapter 1: Transforming Urban Spaces and Industries: The Power of Machine Learning and Deep Learning in Smart Cities, Smart Industries, and Smart Homes Chapter 2: Integration of Fog Computing and Wireless Sensor Network in Smart Cities Chapter 3: Named Data Networking: Content-Based Routing—Architecture, Challenges, and Applications Chapter 4: Advanced Computing Technologies for Energy-Efficient and Secure IoT Network in Smart Cities: Green IoT Perspective Chapter 5: Amalgamation of 5G and Edge Computing for Latency Reduction in Metaverse Using WSN and IoT Chapter 6: Blockchain Revolution: Using Distributed Ledger Technology to Transform Healthcare in WSN-IoT Environment Chapter 7: Blockchain in Internet of Medical Things: Insights on Healthcare Systems Chapter 8: Wireless Sensor Network-Based Automated Computer-Assisted Diagnostic Approaches for Identification of Brain Tumor Disease in IoT-Based Healthcare Chapter 9: Machine Learning and Its Applications in Healthcare Chapter 10: Multi-perspective Issues and Role of WSN and Different Technologies in Healthcare Information System Chapter 11: Exploring the Applications of Wireless Sensor Networks and the Internet of Things in Agricultural and Livestock Production and Management Chapter 12: Wireless Sensor Networks and IoT Revolutionizing Healthcare: Advancements, Applications, and Future Directions Index