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http://dx.doi.org/10.4218/etrij.16.0115.0640

Hybrid Sensor Calibration Scheme for Mobile Crowdsensing-Based City-Scale Environmental Measurements  

Son, Seung-Chul (Honam Research Center, Electronics and Telecommunications Research Institute)
Lee, Byung-Tak (Honam Research Center, Electronics and Telecommunications Research Institute)
Ko, Seok Kap (Honam Research Center, Electronics and Telecommunications Research Institute)
Kang, Kyungran (College of Information & Computer Engineering, Ajou University)
Publication Information
ETRI Journal / v.38, no.3, 2016 , pp. 551-559 More about this Journal
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.
Keywords
Mobile crowdsensing; sensor calibration; blind calibration; mobile phone sensors;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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