Book Image

Mastering Internet of Things

By : Peter Waher
Book Image

Mastering Internet of Things

By: Peter Waher

Overview of this book

The Internet of Things (IoT) is the fastest growing technology market. Industries are embracing IoT technologies to improve operational expenses, product life, and people's well-being. Mastering Internet of Things starts by presenting IoT fundamentals and the smart city. You will learn the important technologies and protocols that are used for the Internet of Things, their features, corresponding security implications, and practical examples on how to use them. This book focuses on creating applications and services for the Internet of Things. Further, you will learn to create applications and services for the Internet of Things. You will be discover various interesting projects and understand how to publish sensor data, control devices, and react to asynchronous events using the XMPP protocol. The book also introduces chat, to interact with your devices. You will learn how to automate your tasks by using Internet of Things Service Platforms as the base for an application. You will understand the subject of privacy, requirements they should be familiar with, and how to avoid violating any of the important new regulations being introduced. At the end of the book, you will have mastered creating open, interoperable and secure networks of things, protecting the privacy and integrity of your users and their information.
Table of Contents (24 chapters)
Title Page
Copyright and Credits
Packt Upsell

Illustrating measurement results

Following image shows how our measured quantity behaves. The light sensor is placed in broad daylight on a sunny day, so it's saturated. Things move in front of the sensor, creating short dips. The thin blue line is a scaled version of our raw input A0. Since this value is event based, it is being reported more often than once a second. Our red curve is our measured, and corrected, ambient light value, in percent. The dots correspond to our second values. Notice that the first two spikes are removed and don't affect the measurement, which remains close to 100%. Only the larger dips affect the measurement. Also, notice the small delay inherent in our algorithm. It is most noticeable if there are abrupt changes:

Removal of spikes

If we, on the other hand, have a very noisy input, our averaging algorithm helps our measured value to stay more stable. Perhaps the physical quantity goes below some sensor threshold, and input values become uncertain. In the following...