JICCE (한국정보통신학회)
Current Result Document :
| 한글제목(Korean Title) |
A New Estimation Model for Wireless Sensor Networks Based on the Spatial-Temporal Correlation Analysis |
| 영문제목(English Title) |
A New Estimation Model for Wireless Sensor Networks Based on the Spatial-Temporal Correlation Analysis |
| 저자(Author) |
Xiaojun Ren
HyonTai Sug
HoonJae Lee
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| 원문수록처(Citation) |
VOL 13 NO. 02 PP. 0105 ~ 0112 (2015. 06) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
The estimation of missing sensor values is an important problem in sensor network applications, but the existing approaches have some limitations, such as the limitations of application scope and estimation accuracy. Therefore, in this paper, we propose a new estimation model based on a spatial-temporal correlation analysis (STCAM). STCAM can make full use of spatial and temporal correlations and can recognize whether the sensor parameters have a spatial correlation or a temporal correlation, and whether the missing sensor data are continuous. According to the recognition results, STCAM can choose one of the most suitable algorithms from among linear interpolation algorithm of temporal correlation analysis (TCA-LI), multiple regression algorithm of temporal correlation analysis (TCA-MR),spatial correlation analysis (SCA), spatial-temporal correlation analysis (STCA)to estimate the missing sensor data. STCAM was evaluated over Intel lab dataset and a traffic dataset, and the simulation experiment results show that STCAM has good estimation accuracy.
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| 키워드(Keyword) |
Data mining
DESM
Missing sensor data
STCAM
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| 파일첨부 |
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