Enterprise internet of things handbook : build end-to-end IoT solutions using popular IoT platforms / Arvind Ravulavaru.

Format:

Book

Author/Creator:

Ravulavaru, Arvind, author.

Language:

English

Subjects (All):

Internet of things.

Physical Description:

1 online resource (323 pages)

Edition:

1st ed.

Place of Publication:

Birmingham ; Mumbai : Packt, [2018]

Biography/History:

Ravulavaru Arvind: Arvind Ravulavaru is a platform architect at Ubiconn IoT Solutions, with over 9 years of experience in software development and 2 years in hardware & product development. For the last 5 years, he has been working extensively on JavaScript, both on the server side and the client side. And for the last couple of years in IoT, building a platform for rapidly developing IoT solutions, named The IoT Suitcase. Prior to that, Arvind worked on big data, cloud computing, and orchestration.

Summary:

Internet of Things is today and now. This "hand" book covers almost all the bare essential knowledge that is needed for an architect or a developer to build IoT solution. Right from understanding what IoT is and exploring various off of the shelf IoT platforms, this book has it all. This book also covers Machine Learning IoT at a basic level.

Contents:

Cover

Title Page

Copyright and Credits

Packt Upsell

Contributors

Table of Contents

Preface

Chapter 1: Introduction to IoT

Internet of Things

History

IoT and the market

IoT technology stack

Building blocks

Smart devices

Microcontroller versus microprocessor

Sensors

Actuators

Controllers

Integrated controllers

Assembled controllers

Possible combinations

System on Chips

Popular SoCs in market

Hardware communication protocols

GPIO

Analog reading

UART

SPI

I2C

Gateway and cloud communication

Device Management Software

Device to cloud communication protocols

Message Queuing Telemetry Transport

MQTT for Sensor Networks

Constrained Application Protocol

Simple Text Oriented Messaging Protocol

Advanced Message Queuing Protocol

Representational state transfer

WebSockets

Storage

MongoDB

Apache Cassandra

Time series databases

InfluxDB

KairosDB

Netflix Atlas

RIAK TS

API management

API gateway administration

Applications

Intelligence

Rules and alerts

IFTTT

Scheduling

Third-party integration

IoT and security

Mirai bot attack

Ransomware

End-to-end architecture

Using cloud computing

Pros and cons of using cloud computing in the IoT

Using fog computing

Pros and cons of using fog computing in the IoT

Edge computing

Which is better?

IoT standards

Summary

Further reading

Chapter 2: Applications of IoT

IoT and its value proposition

Connected devices

Artificial intelligence

Healthcare and IoT

Remote diagnosis

AI doctors

Industrial IoT

Optimization

Predictive maintenance

Other applications of IoT

Agriculture

Smart city

Smart retail

Smart logistics

Chapter 3: Getting Started with IoT Platforms.

IoT platform or IoT middleware

Why platforms?

IoT platforms

Example implementation

Setting up the Raspberry Pi 3

Setting up Node.js on the Raspberry Pi 3

Setting up ThingSpeak

Creating an account

Creating a channel

Sending test data

Building the solution

Things needed

Schematic

Chapter 4: AWS IoT

AWS IoT

AWS IoT Core

AWS IoT Device Management

AWS Greengrass

AWS IoT Analytics

Amazon FreeRTOS

Designing the sample application

Solution

Architecture

End-to-end communication

Data visualization

Pricing

Building the sample application

Setting up the IoT Thing

Setting up Raspberry Pi 3 on the DHT11 node

Setting up Node.js

Developing the Node.js Thing app

Reading the data from the Thing

Building the dashboard

Elasticsearch

Kibana

Setting up Elasticsearch

Setting up an IAM Role

Creating an IoT Rule

Elasticsearch configuration

Running the Thing

Building the Kibana dashboard

Chapter 5: Azure IoT

Azure IoT

IoT hub

Stream analytics

Designing a sample application

Building a sample application

Setting up the IoT hub

Setting up Raspberry Pi on the DHT11 node

Developing the Node.js device app

Reading the data from the IoT Thing

Building a dashboard

Azure stream analytics

Power BI

Execution steps

Signing up to Power BI

Setting up events

Creating a stream analytics job

Running the device

Building the visualization

Chapter 6: Google Cloud IoT

Google Cloud IoT

Architecture.

End-to-end communication

Setting up a project

Enabling APIs

Enabling device registry and devices

Setting up Raspberry Pi 3 with DHT11 node

Reading the data from the device

Setting up credentials

Setting up subscriptions

Setting up the client

Google Cloud Functions

Google BigQuery

Google Data Studio

Setting up BigQuery

Setting up Google Cloud Function

Google Data Studio reports

Chapter 7: IBM Watson IoT

IBM Watson IoT

Creating a platform

Setting up a Raspberry Pi 3 with DHT11 node

Developing the Node.js thing app

Creating a schema

Creating a board

Chapter 8: Kaa IoT

Kaa IoT

How does Kaa work?

Downloading Kaa

Setting up a MongoDB log appender

Setting up a REST log appender

Node.js server - REST Logger

Downloading the SDK and running the app

Setting up a client app

Downloading the Kaa SDK

Setting up dependencies

Setting up the hardware

Running the application

Validating MongoDB data

Validating the REST log appender

ThingsBoard.io

Setting up ThingsBoard

Adding a REST log appender

Building the dashboard.

Summary

Chapter 9: IoT and Machine Learning

What is machine learning?

Machine learning workflow

Types of machine learning algorithms

Supervised ML algorithms

Unsupervised learning algorithms

Reinforced learning algorithms

Machine learning platforms

Amazon machine learning

Azure Machine Learning Studio

Google Cloud Machine Learning

IBM Watson Machine Learning

Open source tools

Rain prediction

Setting up Azure Machine Learning Studio

Importing experiment

Weather dataset

Selecting columns in the dataset

Editing the metadata

Cleaning the missing data

Executing the R script

Splitting data

Train model

Algorithm selection

Score model

Deploying web service

Testing web the service

Chapter 10: Platform Comparisons

What is an IoT platform?

Features of an IoT platform

Essential features

Security

Secure device communication

Device management

Device and cloud integration

Communication protocols

Beneficial features

Visualization

Analytics and intelligence

Comparison between platforms

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Index.

Notes:

Description based on print version record.

OCLC:

1035518877