Título: Urban Air Pollution Monitoring by Neural Networks and Wireless Sensor Networks based on LoRa

Autor(es): MICHILENA CALDERON JAIME ROBERTO, ROSERO MONTALVO PAUL DAVID

Fecha de publicación: 01-nov-2020

Resumen: Abstract. The increase in air pollutant emissions is a current concern. Due to this, the present work shows a network of sensor nodes sending information by LoRa protocol to the monitoring of emissions of harmful gases for health in urban environments. To do this, an electronic scheme is proposed for data acquisition with a smoothing of the signal from each sensor for noise elimination. Subsequently, data analysis is performed using an articial neural network with the main objective of classifying the state of the air. As relevant results, the classication performance of 95% in tests and 90% in real conditions with the presentation of this information in real-time is obtained.

Palabras clave: air pollution, WSN, LoRa, ANN.

DOI: https://doi.org/10.1007/978-3-030-63089-8_59

ISSN: 2194-5357

Tipo publicación: Artículo