TY - GEN
T1 - A low-cost, rapid-deployment and energy-autonomous wireless sensor network for air quality monitoring
AU - David, Chavez M.
AU - River, Quispe T.
AU - Jorge, Rojas M.
AU - Andres, Jacoby K.
AU - Guillermo, Garayar L.
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2016/3/21
Y1 - 2016/3/21
N2 - Air quality is an essential factor to assess the health and life quality of people. However, air pollution has become an acute problem in major cities of developing countries due to the rapid industrialization and poor handling of air pollutants. In this scenario, air quality monitoring practices have been scarcely implemented largely because of the relatively high cost and technical complexity of Continuous Air Quality Monitoring Stations (CAQMS). This paper proposes a low-cost, rapid-deployment and energy-autonomous solution based on wireless sensor networks (WSN) to improve the assessment and the understanding of air quality in developing countries urban areas, thus helping policy makers and scientists to better handle air pollution. The proposal incorporates the use of a website to display collected data and processed information in order to empower citizens with knowledge about the air they breathe.
AB - Air quality is an essential factor to assess the health and life quality of people. However, air pollution has become an acute problem in major cities of developing countries due to the rapid industrialization and poor handling of air pollutants. In this scenario, air quality monitoring practices have been scarcely implemented largely because of the relatively high cost and technical complexity of Continuous Air Quality Monitoring Stations (CAQMS). This paper proposes a low-cost, rapid-deployment and energy-autonomous solution based on wireless sensor networks (WSN) to improve the assessment and the understanding of air quality in developing countries urban areas, thus helping policy makers and scientists to better handle air pollution. The proposal incorporates the use of a website to display collected data and processed information in order to empower citizens with knowledge about the air they breathe.
UR - http://www.scopus.com/inward/record.url?scp=84964822185&partnerID=8YFLogxK
U2 - 10.1109/ICSensT.2015.7438376
DO - 10.1109/ICSensT.2015.7438376
M3 - Conference contribution
AN - SCOPUS:84964822185
T3 - Proceedings of the International Conference on Sensing Technology, ICST
SP - 122
EP - 127
BT - 2015 9th International Conference on Sensing Technology, ICST 2015
PB - IEEE Computer Society
T2 - 9th International Conference on Sensing Technology, ICST 2015
Y2 - 8 December 2015 through 11 December 2015
ER -
