TY - GEN
T1 - IoT Personal Air Quality Monitor
AU - Grath, Sean Mc
AU - Flanagan, Colin
AU - Zeng, Liaoyuan
AU - O'Leary, Conor
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/6
Y1 - 2020/6
N2 - With more attention being paid to environmental issues in recent years, air quality monitoring is becoming more important. It has been possible to monitor air quality successfully for many years, but monitoring has traditionally been both expensive and immobile, thus restricted in application. To improve urban environments, air quality monitoring has to be widespread, ubiquitous, cheap, and rapidly responsive. Good, timely data is the key to first identifying, then tackling air pollution issues. This paper develops an alternative, cheap, IoT-based air quality monitor, which can track air pollution in real time, and transmit the relevant data rapidly through a low power wide area network. A large network of such monitors can generate a vast amount of data, which may then be processed and analyzed in the cloud in real time, and correlated with time of day, month, year or weather and other factors.
AB - With more attention being paid to environmental issues in recent years, air quality monitoring is becoming more important. It has been possible to monitor air quality successfully for many years, but monitoring has traditionally been both expensive and immobile, thus restricted in application. To improve urban environments, air quality monitoring has to be widespread, ubiquitous, cheap, and rapidly responsive. Good, timely data is the key to first identifying, then tackling air pollution issues. This paper develops an alternative, cheap, IoT-based air quality monitor, which can track air pollution in real time, and transmit the relevant data rapidly through a low power wide area network. A large network of such monitors can generate a vast amount of data, which may then be processed and analyzed in the cloud in real time, and correlated with time of day, month, year or weather and other factors.
KW - air pollution
KW - Air Quality Monitors
KW - IoT
KW - Lower power Wireless
UR - http://www.scopus.com/inward/record.url?scp=85092721318&partnerID=8YFLogxK
U2 - 10.1109/ISSC49989.2020.9180199
DO - 10.1109/ISSC49989.2020.9180199
M3 - Conference contribution
AN - SCOPUS:85092721318
T3 - 2020 31st Irish Signals and Systems Conference, ISSC 2020
BT - 2020 31st Irish Signals and Systems Conference, ISSC 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 31st Irish Signals and Systems Conference, ISSC 2020
Y2 - 11 June 2020 through 12 June 2020
ER -