<p><span>This book exploits the benefits of integration of wireless sensor networks (WSN) and Internet of Things (IoT) for smart cities. The authors discuss WSN and IoT in tackling complex computing tasks and challenges in the fields of disaster relief, security, and weather forecasting (among many
WSN and IoT - An Integrated Approach for Smart Applications
β Scribed by Shalli Rani, Ashu Taneja
- Publisher
- CRC Press
- Year
- 2024
- Tongue
- English
- Leaves
- 407
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Overview: 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.
β¦ Table of Contents
Cover
Half Title
Series Page
Title Page
Copyright Page
Contents
List of Figures and Tables
Preface
Acknowledgments
Editors
Contributors
Chapter 1: Introduction to IoT and WSN
Chapter 2: The Role of Sustainable IoT in Present-Day Life
Chapter 3: Designing an Integrated IoT-WSN Framework for Smart City Applications
Chapter 4: Principles of Artificial Intelligence in the Internet of Things
Chapter 5: Blockchain-Based Communication Frameworks for Smart Vehicles
Chapter 6: A Sustainable IoT-Based Smart Transportation System for Urban Mobility
Chapter 7: Optimizing Content Delivery in ICN-Based VANET Using Machine Learning Techniques
Chapter 8: The Role of IoMT Technologies in Revolutionizing Healthcare: A Comprehensive Overview
Chapter 9: Deep Learning and Its Applications in Healthcare
Chapter 10: An Explainable Deep Learning Model for Clinical Decision Support in Healthcare
Chapter 11: Deep Learning Models for Automated Diagnosis of Brain Tumor Disorder in Smart Healthcare
Chapter 12: 6G and Distributed Computing for IoT: A Survey
Chapter 13: Designing a Decentralized IoT-WSN Architecture Using Blockchain Technology
Chapter 14: Privacy-Preserving Machine Learning on Non-Co-Located Datasets Using Federated Learning: Challenges and Opportunities
Chapter 15: Deep Learning Method for Hyperspectral Image Classification
Chapter 16: Toward Smarter Industries: Security Framework Using Attribute-Based Encryption and Systematic Solutions
Index
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