Proceedings of the 7th international conference on Mobile systems, applications, and services
Common Sense: participatory urban sensing using a network of handheld air quality monitors
Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
INSS'09 Proceedings of the 6th international conference on Networked sensing systems
OpenSense: open community driven sensing of environment
Proceedings of the ACM SIGSPATIAL International Workshop on GeoStreaming
On-the-Fly calibration of low-cost gas sensors
EWSN'12 Proceedings of the 9th European conference on Wireless Sensor Networks
Retrofitting smartphones to be used as particulate matter dosimeters
Proceedings of the 2013 International Symposium on Wearable Computers
The siren song of open hardware/software in wireless sensor design
Journal of Computing Sciences in Colleges
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This paper presents a mobile, low-cost particulate matter sensing approach for the use in Participatory Sensing scenarios. It shows that cheap commercial off-the-shelf (COTS) dust sensors can be used in distributed or mobile personal measurement devices at a cost one to two orders of magnitude lower than that of current hand-held solutions, while reaching meaningful accuracy. We conducted a series of experiments to juxtapose the performance of a gauged high-accuracy measurement device and a cheap COTS sensor that we fitted on a Bluetooth-enabled sensor module that can be interconnected with a mobile phone. Calibration and processing procedures using multi-sensor data fusion are presented, that perform very well in lab situations and show practically relevant results in a realistic setting. An on-the-fly calibration correction step is proposed to address remaining issues by taking advantage of co-located measurements in Participatory Sensing scenarios. By sharing few measurement across devices, a high measurement accuracy can be achieved in mobile urban sensing applications, where devices join in an ad-hoc fashion. A performance evaluation was conducted by co-locating measurement devices with a municipal measurement station that monitors particulate matter in a European city, and simulations to evaluate the on-the-fly cross-device data processing have been done.