International Journal of Fuzzy Logic and Intelligent Systems

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Application of Principal Components Analysis Method to Wireless Sensor Network Based Structural Monitoring Systems

  • Congyi, Zhang (Department of Electrical Engineering and Information Technology, Kunsan National University) ;
  • Mission, Jose Leo (Department of Civil and Environmental Engineering, Kunsan National University) ;
  • Kim, Sung-Ho (Department of Electrical Engineering and Information Technology, Kunsan National University) ;
  • Youk, Yui-Su (Department of Electrical Engineering and Information Technology, Kunsan National University) ;
  • Kim, Hyeong-Joo (Department of Civil and Environmental Engineering, Kunsan National University)
  • Published : 2008.03.01
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Abstract

Typical wireless sensor networks used in structural monitoring are continuous types wherein data transmission is progressive at all time that may include irrelevant and insignificant data and information. Continuous types of wireless monitoring systems often pose problems of handling large-sized data that may deteriorate the performance of the system. The proposed method is to suggest an event-triggered monitoring system that captures and transmits relevant data only. An error signal generated by the Principal Components Analysis (PCA) is utilized as an index for event detection and selective data transmission. With this new monitoring scheme, the remote server is relieved of unwanted data by receiving only relevant information from the wireless sensor networks. The performance of the proposed scheme was verified with simulation studies.

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References

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