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Journal Article
A Hybrid Sensor Calibration Scheme for Mobile Crowdsensing-based City-Scale Environmental Measurements
- Authors
- Seung-Chul Son, Byung-Tak Lee, Seok Kap Ko, Kyungran Kang
- Issue Date
- 2016-06
- Citation
- ETRI Journal, v.38, no.3, pp.551-559
- ISSN
- 1225-6463
- Publisher
- 한국전자통신연구원 (ETRI)
- Language
- English
- Type
- Journal Article
- Abstract
- In this paper, we propose a hybrid sensor calibration scheme for mobile crowdsensing applications. As the number of newly produced mobile devices containing embedded sensors continues to rise, the potential to use mobile devices as a sensor data source increases. However, because mobile device sensors are generally of a lower performance and cost than dedicated sensors, sensor calibration is crucial. To enable more accurate measurements of natural phenomena through the use of mobile device sensors, we propose a hybrid sensor calibration scheme for such sensors; the scheme makes use of mobile device sensors and existing sensing infrastructure, such as weather stations, to obtain dense data. Simulation results show that the proposed scheme supports low mean square errors. As a practical application of our proposed scheme, we built a temperature map of a city using six mobile phone sensors and six reference sensors. Thanks to the mobility of the sensors and the proposed scheme, our map presents more detailed information than infrastructure-based measurements.
- KSP Keywords
- Accurate measurement, Detailed information, Embedded sensor, Mobile Crowd Sensing(MCS), Mobile device sensors, Mobile phone sensors, Natural phenomena, Sensor calibration, Weather stations, data sources, hybrid sensor