Internet of Things (IoT) : concepts and applications
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書誌事項
Internet of Things (IoT) : concepts and applications
Springer, c2020
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収録内容
- Part 1: Internet of Things (IoT) Architecture
- Chapter 1. Foundation of IoT: An Overview
- Chapter 2. Cloud Computing for IoT
- Chapter 3. Open Service Platforms for IoT
- Part 2: Solutions and Enablers for IoT
- Chapter 4. Resource Management Techniques for Cloud-Based IoT Environment
- Chapter 5. Data Management for the Internet of Things
- Chapter 6. Machine Learning for IoT Systems
- Chapter 7. Supervising Data Transmission Services Using Secure Cloud Based Validation and Admittance Control Mechanism
- Part 3: IoT Challenges and Issues
- Chapter 8. Tackling Jamming Attacks in IoT
- Chapter 9. Bio-inspired Techniques for Data Security in IoT
- Chapter 10. A Chaos-based Multi-level Dynamic Framework for Image Encryption
- Chapter 11. Privacy Challenges and Their Solutions in IoT
- Part 4: The IoT World of Applications
- Chapter 12. Mobile Computing and IoT
- Chapter 13. Single Activity Recognition System: A Review
- Chapter 14. Deep Learning and IoT for Agricultural Applications
- Chapter 15. IoT for Crowd Sensing and Crowd Sourcing
- Chapter 16. Smart Infrastructures
- Part 5: IoT for Smart Cities
- Chapter 17. IoT Application for Smart Cities Data Storage and Processing Based on Triangulation Method
- Chapter 18. Intelligent Environment Protection
- Chapter 19. A Decade Survey on Internet of Things in Agriculture
- Chapter 20. Intelligent Healthcare Solutions
- Chapter 21. Smart Car-Accident Detection and Notification Using Amazon Alexa
- Chapter 22. Prioritization of Challenges Towards Development of Smart Manufacturing Using BWM Method
- Part 6: Next Generation Smart Applications
- Chapter 23. Surveillance of Type -I & II Diabetic Subjects on Physical Characteristics: IoT and Big Data Perspective in Healthcare @NCR, India
- Chapter 24. Monitoring System Based in Wireless Sensor Network for Precision Agriculture
- Chapter 25. Securing E-Health IoT Data on Cloud Systems Using Novel Extended Role Based Access Control Model
- Chapter 26. An Efficient Approach towards Enhancing the Performance of m-Health Using Sensor Networks and Cloud Technologies
- Chapter 27. Future Internet of Things (IOT) from cloud perspective: Aspects, Applications and Challenges
内容説明・目次
内容説明
This books objective is to explore the concepts and applications related to Internet of Things with the vision to identify and address existing challenges. Additionally, the book provides future research directions in this domain, and explores the different applications of IoT and its associated technologies. Studies investigate applications for crowd sensing and sourcing, as well as smart applications to healthcare solutions, agriculture and intelligent disaster management. This book will appeal to students, practitioners, industry professionals and researchers working in the field of IoT and its integration with other technologies to develop comprehensive solutions to real-life problems
目次
Part I: Introduction
Part II: Internet of Things (IoT) Architecture
Chapter 1. Scalable Architectures for IoT
Chapter 2. Cloud Computing for IoT
Chapter 3. Interaction Protocols and Autonomy Management
Chapter 4. Open Service Platforms for IoT
Part II: Solutions and Enablers for IoT
Chapter 5. Programming systems
Chapter 6. Smart Infrastructures
Chapter 7. Devices: Management and Optimization
Chapter 8. Data Management for IoT Applications
Part III: IoT Challenges and Issues
Chapter 9. Security and Identity Management for IoT Systems
Chapter 10. Robustness and Reliability
Chapter 11. Privacy Challenges and Solutions
Chapter 12. Management Policies and Cryptography Solutions
Part IV: The IoT World of Applications
Chapter 13. IoT Applications for Social World
Chapter 14. IoT for Crowd Sensing and Crowd Sourcing
Chapter 15. Mobile Computing and IoT
Part V: IoT for Smart Cities
Chapter 16. Intelligent environment Protection
Chapter 17. Smart Agriculture
Chapter 18. Intelligent Healthcare solutions
Chapter 19. Intelligent Infrastructure Management
Chapter 20. Smart Education
Chapter 21. Smart Manufacturing
Chapter 22. Smart Logistics
Chapter 23. Smart Retailing
Chapter 24. Intelligent Disaster Management
Part VI: Next Generation Smart Applications
Chapter 25. Integration of Machine Learning, Artificial Intelligence and Computer Vision with IoT
Chapter 26. Cognitive IoT Analytics Applications
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