WSN and IoT: An Integrated Approach for Smart Applications [Paperback]

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.?

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

Nowadays, all of us are connected through a large number of sensor nodes, smart devices, and wireless terminals. For these Internet of Things (IoT) devices tl#!