Industrial Internet of Things for Responsible Technology
eBook - ePub

Industrial Internet of Things for Responsible Technology

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Industrial Internet of Things for Responsible Technology

About this book

The book explores the intersection between IoT technologies and responsible practices across four vital dimensions. It looks into the latest advancements in IoT, encompassing hardware, software, and cutting-edge communication protocols, while also highlighting trends like edge computing, IoT security, and energy-efficient IoT devices. The next part of the book showcases real-world applications and success stories across diverse sectors such as healthcare, manufacturing, smart cities, and agriculture. The next part addresses the vital role of data analytics and artificial intelligence in harnessing the potential of IoT, covering real-time data analysis, predictive maintenance, and data visualization. The last part focuses on the essential aspect of safeguarding IoT devices and data, exploring authentication, encryption, vulnerability assessment, and the ethical and regulatory considerations surrounding IoT. The book serves as a resource for professionals, researchers, and policymakers, offering valuable insights, best practices, and responsible strategies for leveraging IoT in an increasingly connected and data-driven industrial world while prioritizing ethical, security, and privacy concerns.

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Yes, you can access Industrial Internet of Things for Responsible Technology by B. K. Mishra,Gaurav Dhiman,Hemant Kasturiwale,Sujata Alegavi,Kusum Yadav in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Series Title
  3. Title Page
  4. Copyright Page
  5. Preface
  6. Series Preface
  7. Contents
  8. List of Contributors
  9. 1. An Introduction to Responsible Technology in Industrial Internet of Things
  10. 2. Foundations of Industrial Internet of Things
  11. 3. Ethical Considerations in IIoT Development
  12. 4. Sustainable Design Principles for IoT Systems
  13. 5. Case Studies Responsible IIoT ImplementationsSmart Bin Waste Prediction Using Machine Learning
  14. 6. Regulatory Landscape for Responsible IIoT Practices
  15. 7. Human-Centric Design in IIoT Solutions
  16. 8. Data Governance and Responsible Analytics in IIoT
  17. 9. Resilience and Reliability in Industrial IoT Networks
  18. 10. Collaborative Innovation for Responsible IIoT Hybrid Approach of Seed Spreading and Weed Plucking for Enhanced Crop Yields using Machine Learning
  19. 11. Social Impact of IIoT Community and Workforce Considerations
  20. 12. Development and Implementation of State of Charge Algorithm for Battery Management System
  21. 13. Strategies for Overcoming Ethical Challenges in IIoT Adoption
  22. 14. Security and Privacy in Industrial IoT Environments
  23. 15. Conclusion Shaping a Responsible Technological Future
  24. Index
  25. About the Editors