WSN and IoT : An Integrated Approach for Smart Applications

WSN and IoT An Integrated Approach for Smart Applications

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 netwo...

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Detalles Bibliográficos
Otros Autores: Rani, Shalli, editor (editor), Taneja, Ashu, editor
Formato: Libro electrónico
Idioma:Inglés
Publicado: Boca Raton, Florida : CRC Press [2024]
Edición:First edition
Colección:Prospects in Smart Technologies Series
Materias:
Internet of things.
Wireless sensor networks.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009825856106719
Tabla de Contenidos:
  • 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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