This paper describes a continuous air quality monitoring system using the LoRa standard. This network consists of two types of nodes: end nodes (sensor that measure humidity, temperature, carbon dioxide, particulate material) and gateway nodes (device that receives, processes, and sends the data to the cloud). The monitoring system was used in a real context in two points A and B, both located in the center of the city of Esmeraldas, Ecuador. Point A corresponds to a conventional house; while point B corresponds to a university. Two scenarios were experimented, that is, changing the physical conditions of the environment and changing the position of the nodes in terms of distance and altitude. Results allowed us to get a model for cities in developing countries to begin the process of transition to smart cities. We conclude that end nodes showed better communication if they were located at a high altitude above sea level. Therefore, the technologies used in the creation of the network fit the conditions of the environment and the urban space of the city of Esmeraldas —a city that is starting to implement technology to become a smart city in the future.