@inproceedings{6ee6fcf3655d4711bbab1d3bfa8da919,
title = "Air quality monitoring system within campus by using wireless sensor networks",
abstract = "In this paper, we present a solution to monitor CO2emissions produced by vehicles within a university campus. The system is implemented based on distributed sensor nodes by using ZigBee technology. Several sensors were placed around the main streets on campus in order to monitor CO2concentrations. Data suggested that speed bumps generate increased levels of CO2, which are emitted by vehicles. We determine that the CO2levels in our campus are 410 parts per million, which is within tolerable limits. The wireless system developed has been used as a tool to take actions in order to reduce the environmental pollution around our university campus, and to improve traffic by removing the speed bumps or to restrict the circulation of vehicles at peak hours when the system indicates that pollution levels are high.",
keywords = "CO2 monitoring, IEEE 802.15.4, WSN, Waspmote, Xbee, Zigbee",
author = "Lara-Cueva, \{Roman A.\} and Meneses, \{Patricia B.\} and Marquez, \{Marcelo D.\} and Gordillo, \{Rodolfo X.\} and Benitez, \{Diego S.\}",
note = "Publisher Copyright: {\textcopyright} 2019 AISTI.; 14th Iberian Conference on Information Systems and Technologies, CISTI 2019 ; Conference date: 19-06-2019 Through 22-06-2019",
year = "2019",
month = jun,
doi = "10.23919/CISTI.2019.8760834",
language = "Ingl{\'e}s",
series = "Iberian Conference on Information Systems and Technologies, CISTI",
publisher = "IEEE Computer Society",
editor = "Alvaro Rocha and Isabel Pedrosa and Cota, \{Manuel Perez\} and Ramiro Goncalves",
booktitle = "Proceedings of CISTI 2019 - 14th Iberian Conference on Information Systems and Technologies",
}