WSN and IoT: An Integrated Approach for Smart Applications discusses the integration of IoT and WSN which enables an efficient communication flow between sensor nodes and wireless terminals and covers the role of ML, AI, deep learning, and blockchain technologies which gives way to intelligent networks.
Inhaltsverzeichnis
1. Introduction to IoT and WSN 2. Role of Sustainable IoT in Present Day Life 3. Designing an Integrated IoT-WSN Framework for Smart City Applications 4. Principles of Artificial Intelligence in Internet of Things 5. Blockchain-Based Communication Framework for Smart Vehicles 6. A Sustainable IoT-Based Smart Transportation System for Urban Mobility 7. Optimizing Content Delivery in ICN-Based VANETs Using Machine Learning Techniques 8. the Role of IoMT Technologies in Revolutionizing Healthcare: A Comprehensive Overview 9. Deep Learning and Its Applications in Healthcare 10. An Explainable Deep Learning Model for Clinical Decision Support in Healthcare 11. Deep Learning Models for Automated Diagnosis of Brain Tumor Disorder in Smart Healthcare 12. 6G and Distributed Computing for IoT: A Survey 13. Designing a Decentralized IoT-WSN Architecture Using Blockchain Technology 14. Privacy-Preserving Machine Learning on Non-Co-Located Data Sets Using Federated Learning: Challenges and Opportunities 15. Deep Learning Method for Hyperspectral Image Classification 16. Towards Smarter Industries: Security Framework Using Attribute-Based Encryption and Systematic Solutions
