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Full Description
Network Optimization in Intelligent Internet of Things Applications: Principles and Challenges sheds light on the optimization methods that form the basis of effective communication between networked devices. It is an excellent resource as it provides readers with a thorough understanding of the methods, ideas, and tactics essential to attaining seamless connectivity and improving performance.
This book presents the fundamental ideas that govern network optimization, from maximizing throughput and lowering latency to handling a variety of communication protocols and minimizing energy use. It also addresses scalability issues, security flaws, and constantly changing IoT environments along with optimization techniques.
This book uses cutting-edge research and real-world examples to give readers the knowledge and skills to address the complex problems associated with network optimization in intelligent IoT applications. It also examines machine learning-driven predictive analytics, robust security protocols, flexible routing algorithms, and the integration of edge computing - all crucial instruments for overcoming obstacles and attaining peak performance.
This book provides a comprehensive understanding of the principles, challenges, and cutting-edge solutions in IoT network optimization for all kinds of readers, whether it is students, academicians, researchers, or industry professionals. This book unleashes the potential of networked smart devices, which can be unleashed in various sectors.
Contents
Part 1: Introduction to IoT, Network Objectives and Optimization Techniques. Chapter 1. IoT Networks: Issues, Challenges, & Objectives. Chapter 2. 6G for Intelligent Internet of Things. Chapter 3. A Systematic Study of Intelligent Toll Payment Gateways. Chapter 4. IOT based Health Care System for Early Prediction of Alzheimer's Disease. Chapter 5. Ethical and Social Implications of IOT Integrated Autonomous Vehicles. Part 2. Energy Conservation for Intelligent IoT Networks. Chapter 6. Green Internet of Things. Chapter 7. Network Optimization for Internet of Things (IoT): Techniques and Algorithms. Part 3. Congestion Control and Heterogeneity in Intelligent IoT Network. Chapter 8 Network Optimization on Internet of Medical Things. Part 4. Scalability, Reliability and QoS in Intelligent IoT Network. Chapter 9. Scalable IoT Architecture and Services: Challenges and Opportunities in IoT Enabled Healthcare Monitoring Frameworks. Chapter 10. A Study on Intrusion Detection System for RPL Protocol Attacks in Internet of Things. Part 5. Security and Privacy in Intelligent IoT Network. Chapter 11. Lightweight Cryptography Algorithms, Authorization and Authentication Techniques in IoT. Chapter 12. Deep Learning Techniques for IoT Security: A Comprehensive Review and Future Directions. Chapter 13. An Empirical Study of the Concept Drift Driven Machine Learning for IOT Network Anomaly Detection. Chapter 14. Internet of Things (IoT) Security Using Blockchain. Chapter 15. Secure Communication and Authentication in IoT-based UAV Networks. Chapter 16. A Comprehensive IoT Security Framework Using Edge Computing: Approaches and Challenges. Chapter 17. Edge Computing Based Design for IOT Security. Chapter 18. Wi-Fi Jammer, A Threat to IoT Networks: Experimental Perspective.
