Title :
Gross error detection and self-calibration of networked sensors
Author :
Takase, Yuya ; Hontani, Hidekata
Author_Institution :
Dept. of Comput. Sci. & Eng., Nagoya Inst. of Technol., Nagoya
Abstract :
The purpose of this research was to develop a method for automatically detecting gross errors of networked sensors and re-calibrating the corresponding sensors. A sensor network system consists of huge number of sensors. It is not easy to calibrate each of these sensors manually. Hence, such a system needs a method for detecting gross errors partly caused by malfunctions of the sensors, in order to keep its reliability high. In this poster, we show an automatic calibration method based on the maximum-likelihood estimation and its application to gross error detection.
Keywords :
calibration; distributed sensors; error detection; maximum likelihood estimation; automatic calibration method; gross error detection; maximum-likelihood estimation; networked sensor self-calibration; reliability; Calibration; Character generation; Computer errors; Computer science; Maximum likelihood estimation; Measurement standards; Parameter estimation; Sensor phenomena and characterization; Sensor systems; Time measurement;
Conference_Titel :
Networked Sensing Systems, 2008. INSS 2008. 5th International Conference on
Conference_Location :
Kanazawa
Print_ISBN :
978-4-907764-31-9
DOI :
10.1109/INSS.2008.4610873
