Book Image

Arduino Data Communications

By : Robert Thas John
5 (1)
Book Image

Arduino Data Communications

5 (1)
By: Robert Thas John

Overview of this book

In our modern, internet-connected world, where billions of devices constantly collect and send data to systems to be stored and processed, it’s surprising how the intricacies of data transmission and storage are often overlooked in the IoT domain. With Arduino Data Communications, you'll bridge the knowledge gap and become an expert in collecting data from IoT sensors, transmitting data, and configuring your own databases. This book is an exploration of IoT’s inner workings, guiding you through the process of setting up an end-to-end system that you can employ to prototype your own IoT solutions, using easy-to-follow examples. It begins with a general overview of the Arduino ecosystem, acquainting you with various sensors and shields and unveiling the art of data collection. You’ll then explore data formats and methods to store data, both locally and on database servers. As you progress through the chapters, you’ll learn how to set up REST and MQTT infrastructure to communicate with databases and get hands-on with LoRaWAN, Ethernet, cellular, HC-12, and RS-485. The final chapters are your training ground for real-world projects, imparting the essential knowledge you need to tackle complex challenges with confidence. By the end of this Arduino book, you'll have seamlessly configured an end-to-end system, all while immersing yourself in practical scenarios that bring the world of IoT to life.
Table of Contents (20 chapters)
Part 1:Introduction to Arduino and Sensor Data
Part 2:Sending Data
Part 3: Miscellaneous Topics

Learning about the threat landscape

The Internet of Things (IoT) is all about data. You have hardware in the mix, but the hardware collects and transmits data.

The importance of data in this era has been compared to the importance of oil in the industrial era. Data is considered to be a valuable resource by most people. Data can be used for making predictions, such as the data collected from weather stations being used to forecast weather patterns.

Data collected from a smart home system can be used to understand user behavior, such as what appliances are being used at certain times leading you to understand room occupancy. A positive application of user behavior is targeted advertising. However, it is also possible to utilize data negatively. Knowing when a room is occupied implies that bad actors know when the room isn’t occupied.

Another example is with fitness trackers that collect location information. If this information falls into the wrong hands, it becomes...