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Full Description
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 to operate seamlessly, the Wireless Sensor Network (WSN) needs to be robust to support huge volumes of data for information exchange, resource optimization, and energy efficiency. This book provides in-depth information about the emerging paradigms of IoT and WSN in new communication scenarios for energy-efficient and reliable information exchange between a large number of sensor nodes and applications.
WSN and IoT: An Integrated Approach for Smart Applications discusses how the integration of IoT and WSN enables an efficient communication flow between sensor nodes and wireless terminals and covers the role of machine learning (ML), artificial intelligence (AI), deep learning (DL), and blockchain technologies which give way to intelligent networks. This book presents how technological advancement is beneficial for real-time applications involving a massive number of devices and discusses how the network carries huge amounts of data allowing information to be communicated over the Internet. Intelligent transportation involving connected vehicles and roadside units is highlighted to show how a reality created through the intelligent integration of IoT and WSN is possible. Convergence is discussed and its use in smart healthcare, where only through the intelligent connection of devices can patients be treated or monitored remotely for telemedicine or telesurgery applications. This book also looks at how sustainable development is achieved by the resource control mechanism enabling energy-efficient communication.
A wide range of communication paradigms related to smart cities, which includes smart healthcare, smart transportation, smart homes, and intelligent data processing, are covered in the book. It is aimed at academicians, researchers, advanced-level students, and engineers who are interested in the advancements of IoT and WSN for various applications in smart cities.
Contents
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
