System for data collection and devices using the LoRa network

Abstract

This project addresses the issue of data collection from devices installed across a large area, such as the campus of the José Simeón Cañas Central American University (UCA), using the LoRa network. The LoRa network was installed at UCA based on the foundations laid by previous research focused on the propagation and operation of LoRa technology. The objective of this project is to develop a computer system that allows for the collection of data from different devices installed at UCA via the LoRa network and presents this data to the general public through a dashboard in a web and mobile application. To achieve this objective, the Scrum development methodology was used. This methodology consists of using sprints, which are short development periods in which the team develops a specific system feature. Scrum is iterative, meaning that sprints are repeated periodically (usually every two weeks). Scrum also uses epics, which represent the general modules of the application, such as the backend and frontend. And the user stories, which represent each system functionality, such as data acquisition with LoRa. In the Scrum methodology, a certain number of user stories are completed in each two-week sprint, repeatedly until the system is finished. The final result was a complete system that collects data from devices installed on the UCA campus (two devices were used in this project) and presents the data to the public in a dashboard with graphs that allow for better reading and analysis of the information.