Paper Info
Title
Towards Smart City: Sensing Air Quality in City based on Opportunistic Crowd-sensing.
Abstract
Cities are expanding and more and more citizens are exposed to air pollutants both indoors and outdoors. This may have adverse effects on citizens' health. In this paper, we present AirSense, an opportunistic crowd-sensing based air quality monitoring system, aimed at collecting and aggregating sensor data to monitor air pollution in the vicinity (building/neighbourhood) and the city. We introduce a light weight, low power and low cost air quality monitoring device (AQMD) and demonstrate how AQMD and smartphones in a crowd collaboratively gather and share data of interest to the cloud. In cloud, collected data are analyzed and an aggregate view is generated from data collected from various sensors and from different users for providing an air pollution heat map of the city. Unlike previous works, both micro and macro level air quality monitoring is possible with Airsense. End user can view his/her pollution footprint for the whole day, the neighborhood (local) air quality and AQImap (air quality index map) of the city on his/her smartphone. The system is implemented and the prototype is also evaluated.
Year
DOI
Venue
2017
10.1145/3007748.3018286
ICDCN
Keywords
Field
DocType
Air quality, Opportunistic crowd-sensing, Sensing device
End user,Simulation,Computer science,Transport engineering,Computer network,Pollution,Air quality index,Footprint,Smart city,Air pollution,Macro,Cloud computing
Conference
Citations 
PageRank 
References 
8
0.98
8
Authors
5
Name
Order
Citations
PageRank
Joy Dutta192.69
Chandreyee Chowdhury23012.18
Sarbani Roy310427.97
Asif Iqbal49223.76
Firoj Gazi580.98