Diseño y simulación de un sistema IOT de parqueo inteligente utilizando LORAWAN y ESP32 en el campus de la UCSG.

Abstract

This thesis is based on the design and simulation of an intelligent parking monitoring system that aims to optimize parking management on the campus of the Catholic University of Santiago de Guayaquil (UCSG). Due to this problem of traffic congestion and the inefficient search for available parking spaces, it is proposed to solve it using the Internet of Things (IoT) and the long-range, low-power LoRaWAN communication technology. The methodology employed in this project is based on a system composed of sensor nodes equipped with microcontrollers in a LoRaWAN network and an IoT platform for data visualization. The NS-3 network simulator was used to observe network behavior based on the simulated scenario. This validated the system's effectiveness, showing a deterioration in packet delivery rates (PDR) as network load increases and demonstrating that the battery life could exceed 9 years. This study concluded that the scalable and efficient congestion reduction tool proposed in this project improves the user experience on campus.