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Learning IoT with Particle Photon and Electron

You're reading from Learning IoT with Particle Photon and Electron

Product type Book

Published in Sep 2016

Publisher

ISBN-13 9781785885297

Pages 136 pages

Edition 1st Edition

Languages

Concepts

Single Board Computers

Authors (3):

Rashid Khan

Kajari Ghoshdastidar

Ajith Vasudevan

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Table of Contents (11) Chapters

Learning IoT with Particle Photon and Electron

Credits

About the Authors

www.PacktPub.com

Preface

1. Introducing IoT with Particle Photon and Electron

2. Fire Up Your Kit

3. P2P and Local Server

4. Connecting the Sensors

5. Of Cars and Controllers

6. Hacking the Firmware

Alternate protocols for IoT

IoT devices are constrained in terms of computing and memory resources, and Particle devices are no exception. The REST architecture has been used extensively on the web for communication between clients and servers. Using the same architecture for IoT or resource-constrained devices is not very optimal. It leads to packet losses or memory being full, which result in unwanted behavior. The REST implementation is also process intensive for the IoT devices, thereby putting a heavy load on these tiny devices.

To overcome these issues, new protocols and architecture have been designed. We will be presenting briefly some of these new protocols, which are better suited for IoT.

MQTT

The first protocol we look at is called MQ Telemetry Transport (MQTT) (http://www.mqtt.org). Historically, the "MQ" in MQTT came from IBM's MQ Series message queuing (https://en.wikipedia.org/wiki/Message_queuing) product line.

MQTT is a publish-subscribe-based (https://en.wikipedia.org/wiki...

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Authors (3)

Rashid Khan

Rashid Khan is a programmer living in Bangalore. He is one of the founders of Yellow Messenger, a company that specializes in building bots for commerce. Prior to founding Yellow Messenger, he worked at EdgeVerve Systems, where he built backend systems to support IoT devices. He is an open source enthusiast and loves to experiment with new technologies. He is involved with a number of open source organizations, such as GNOME, Mono, Tomboy Notes, and Banshee and has built a Django (Python) library for Apache Spark called Django-LibSpark. His interests lie in the field of Artificial Intelligence and interfacing software with real-world objects. Apart from programming, he loves to cycle and play tennis.

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Kajari Ghoshdastidar

Kajari Ghoshdastidar got her PhD in wireless sensor networks in 2009 and has been active in IoT-related hobby project work since then. She has worked in the software industry for the last 6 years as a technology architect, software developer, and a computer scientist. She is a technology geek, takes part in hackathons, and is always exploring new technologies and electronic gadgets. She is currently part of the systems engineering team at EdgeVerve, working as a computer scientist.

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Ajith Vasudevan

Ajith Vasudevan is an electronics, computer, and IoT enthusiast who likes to apply his knowledge in these fields to make modern living easy for himself and others around him. He has a bachelor's of technology degree in electrical and electronics engineering. He was interested in automation and IoT even before the term IoT became commonplace. He designed and built an automatic overhead-tank motor operator using $1 worth of electronic parts back in 1995, which is operating at his parents home to this day. He has automated and made it simple and efficient to operate many household appliances, for example, an automatic geyser switch that turns itself off after 10 minutes, saving electricity. It can be set to switch on at any specified time or can be controlled from anywhere. Today, even his friends and neighbors use this system. Ajith has worked in the heavy electrical industry before joining his current employer, Infosys Technologies Limited, in the year 2000. He is presently a senior computer scientist at EdgeVerve Systems, a subsidiary of Infosys. At work, he enjoys programming and has done so for over a decade and a half.

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