Battery-free sensor networks for sustainable next-generation iot connectivity /

Bibliographic Details
Other Authors: Karthick, G.S (Editor)
Format: eBook
Language:English
Published: Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global Scientific Publishing, 2025.
Subjects:
Table of Contents:
  • Foreword
  • Preface
  • Acknowledgment
  • Chapter 1. Battery-Free Sensor Networks for Sustainable Next-Generation Internet of Things Connectivity: Basic Principles, Technological Innovations in Energy Harvesting, Storing, and Management
  • Chapter 2. Design Principles for Internet of Battery-Free Things: An Architectural Approach
  • Chapter 3. Building Sustainable Internet of Things Ecosystem Connectivity: An Integration of Deep Learning With Cloud and Edge Computing
  • Chapter 4. Energy-Efficient Security and Fault Localization Strategies for Battery-Free Sensor Networks: A Comprehensive Insights
  • Chapter 5. Energy Harvesting and Management Power Aware Integrated Circuits and Systems
  • Chapter 6. Energy Harvesting and Management in Body-Focused Wireless Sensor Networks
  • Chapter 7. Wearable Battery-Free Wireless Sensor Network Devices for Health Monitoring: Basic Principles, Applications, and Energy Harvesting
  • Chapter 8. Evolutionary Algorithm-Based Solutions for Energy Efficiency in Wireless Sensor Networks
  • Chapter 9. Fuzzy-Oriented Dynamic Energy Allocation Strategies for Wireless Sensor Networks
  • Chapter 10. Energy-Efficient Traffic Monitoring Combining Machine Learning With Battery-Free Sensor Networks
  • Chapter 11. Biomedical Sensor Networks and Remote Patient Monitoring: An Exploratory Insights
  • Chapter 12. Real-Time Landslide Detection and Early Warning Systems Using Battery-Free Wireless Sensor Networks
  • Chapter 13. Artificial Intelligence Framework for ISTAR Missions in Tactical Networks Using Autonomous Vehicles
  • Chapter 14. Role of Implantable Battery-Free Sensors in Chronic Disease Management: An Internet of Things Assistive Patient Monitoring
  • Chapter 15. Ensemble-Based Machine Learning Techniques for Adaptive Wireless Sensor Networks: Machine Learning Techniques for Wireless Sensor Networks
  • Chapter 16. Enhancing Library Management With Battery-Free Sensors: Preservation, Environmental Control, and Circulation
  • Chapter 17. Challenges and Solutions in Implementing Internet of Things-Based Smart City
  • Compilation of References
  • About the Contributors
  • Index.