TY - JOUR
T1 - Internet of things mobile-air pollution monitoring system (IoT-Mobair)
AU - Dhingra, Swati
AU - Madda, Rajasekhara Babu
AU - Gandomi, Amir H.
AU - Patan, Rizwan
AU - Daneshmand, Mahmoud
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2019/6
Y1 - 2019/6
N2 - Internet of Things (IoT) is a worldwide system of 'smart devices' that can sense and connect with their surroundings and interact with users and other systems. Global air pollution is one of the major concerns of our era. Existing monitoring systems have inferior precision, low sensitivity, and require laboratory analysis. Therefore, improved monitoring systems are needed. To overcome the problems of existing systems, we propose a three-phase air pollution monitoring system. An IoT kit was prepared using gas sensors, Arduino integrated development environment (IDE), and a Wi-Fi module. This kit can be physically placed in various cities to monitoring air pollution. The gas sensors gather data from air and forward the data to the Arduino IDE. The Arduino IDE transmits the data to the cloud via the Wi-Fi module. We also developed an Android application termed IoT-Mobair, so that users can access relevant air quality data from the cloud. If a user is traveling to a destination, the pollution level of the entire route is predicted, and a warning is displayed if the pollution level is too high. The proposed system is analogous to Google traffic or the navigation application of Google Maps. Furthermore, air quality data can be used to predict future air quality index (AQI) levels.
AB - Internet of Things (IoT) is a worldwide system of 'smart devices' that can sense and connect with their surroundings and interact with users and other systems. Global air pollution is one of the major concerns of our era. Existing monitoring systems have inferior precision, low sensitivity, and require laboratory analysis. Therefore, improved monitoring systems are needed. To overcome the problems of existing systems, we propose a three-phase air pollution monitoring system. An IoT kit was prepared using gas sensors, Arduino integrated development environment (IDE), and a Wi-Fi module. This kit can be physically placed in various cities to monitoring air pollution. The gas sensors gather data from air and forward the data to the Arduino IDE. The Arduino IDE transmits the data to the cloud via the Wi-Fi module. We also developed an Android application termed IoT-Mobair, so that users can access relevant air quality data from the cloud. If a user is traveling to a destination, the pollution level of the entire route is predicted, and a warning is displayed if the pollution level is too high. The proposed system is analogous to Google traffic or the navigation application of Google Maps. Furthermore, air quality data can be used to predict future air quality index (AQI) levels.
KW - Air pollution monitoring system
KW - Air quality index (AQI)
KW - Air-pollution safe route
KW - Android
KW - Cloud
KW - Distributed systems
KW - Global positioning system (GPS)
KW - Sensors
UR - http://www.scopus.com/inward/record.url?scp=85067866698&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85067866698&partnerID=8YFLogxK
U2 - 10.1109/JIOT.2019.2903821
DO - 10.1109/JIOT.2019.2903821
M3 - Article
AN - SCOPUS:85067866698
VL - 6
SP - 5577
EP - 5584
JO - IEEE Internet of Things Journal
JF - IEEE Internet of Things Journal
IS - 3
M1 - 8663367
ER -