N-smarts: networked suite of mobile atmospheric real-time sensors
Proceedings of the second ACM SIGCOMM workshop on Networked systems for developing regions
Exploring Privacy Concerns about Personal Sensing
Pervasive '09 Proceedings of the 7th International Conference on Pervasive Computing
OpenSense: open community driven sensing of environment
Proceedings of the ACM SIGSPATIAL International Workshop on GeoStreaming
U-Air: when urban air quality inference meets big data
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
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Traditionally, pollution measurements are performed using expensive equipment at fixed locations or dedicated mobile equipment laboratories. This is a coarse-grained and expensive approach where the pollution measurements are few and far in-between. In this paper, we present a vehicular-based mobile approach for measuring fine-grained air quality in real-time. We propose two cost effective data farming models -- one that can be deployed on public transportation and the second a personal sensing device. We present preliminary prototypes and discuss implementation challenges and early experiments.