This lab was done as part of the CS437 Internet of Things curriculum

As part of the lab, I undertook the complete development of a IoT application. This involved designing, building, and deploying a customized IoT device from scratch. The primary objective was to enable tracking of animals by attaching IoT sensors to them, which allowed monitoring various attributes such as location and movement patterns. The construction and coding of the Arduino circuit device were carried out on the platform hosted at http://iotsys5.cs.illinois.edu. Once the device was ready, I proceeded to deploy and test it on the IoT playground, which was set up on the African savannah UIUC server. The data collected from the IoT devices was then subjected to extensive analysis. This included plotting 3D cumulative distribution function (CDF) plots to visualize and interpret the collected data effectively. Additionally, the movement patterns of different animal species were plotted over time using the gathered data. The illustration of the graphs was accomplished using Python, specifically leveraging the data visualization library called Matplotlib. Overall, the lab provided a hands-on experience in developing a functional IoT application, monitoring real-world attributes, and performing data analysis to better understand the behavior of animals in their natural habitat.