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Mastering Internet of Things

You're reading from  Mastering Internet of Things

Product type Book
Published in Mar 2018
Publisher Packt
ISBN-13 9781788397483
Pages 410 pages
Edition 1st Edition
Languages
Author (1):
Peter Waher Peter Waher
Profile icon Peter Waher

Table of Contents (24) Chapters

Title Page
Copyright and Credits
Dedication
Packt Upsell
Contributors
Preface
1. Preparing Our First Raspberry Pi Project 2. Creating a Sensor to Measure Ambient Light 3. Creating an Actuator for Controlling Illumination 4. Publishing Information Using MQTT 5. Publishing Data Using HTTP 6. Creating Web Pages for Your Devices 7. Communicating More Efficiently Using CoAP 8. Interoperability 9. Social Interaction with Your Devices Using XMPP 10. The Controller 11. Product Life Cycle 12. Concentrators and Bridges 13. Using an Internet of Things Service Platform 14. IoT Harmonization 15. Security for the Internet of Things 16. Privacy 1. Other Books You May Enjoy Index

Appendix 1. Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

Internet of Things for Architects Perry Lea

ISBN: 978-1-78847-059-9

  • Understand the role and scope of architecting a successful IoT deployment, from sensors to the cloud
  • Scan the landscape of IoT technologies that span everything from sensors to the cloud and everything in between
  • See the trade-offs in choices of protocols and communications in IoT deployments
  • Build a repertoire of skills and the vernacular necessary to work in the IoT space
  • Broaden your skills in multiple engineering domains necessary for the IoT architect

Practical Internet of Things with JavaScript Arvind Ravulavaru

ISBN: 978-1-78829-294-8

  • Integrate sensors and actuators with the cloud and control them for your Smart Weather Station
  • Develop your very own Amazon Alexa integrating with your IoT solution
  • Define custom rules and execute jobs on certain data events using IFTTT
  • Build a simple surveillance solutions using Amazon Recognition and Raspberry Pi 3
  • Design a fall detection system and build a notification system for it
  • Use Amazon Rekognition for face detection and face recognition in your Surveillance project
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