Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Development of Intelligent Data Validation Scheme for Sensor Network

센서 네트워크를 위한 지능형 데이터 유효화 기법의 개발

  • 육의수 (군산대학교 전자정보공학부) ;
  • 김성호 (군산대학교 전자정보공학부)
  • Published : 2007.05.01
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Abstract

Wireless Sensor Network(WSNs) consists of small sensor nodes with sensing, computation, and wireless communication capabilities. The large number of sensor nodes in a WSN means that there will often be some nodes which give erroneous sensor data owing to several reasons such as power shortage and transmission error. Generally, these sensor data are gathered by a sink node to monitor and diagnose the current environment. Therefore, this can make it difficult to get an effective monitoring and diagnosis. In this paper, to overcome the aforementioned problems, intelligent sensor data validation method based on PCA(Principle Component Analysis) is utilized. Furthermore, a practical implementation using embedded system is given to show the feasibility of the proposed scheme.

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References

  1. D. Estrin, L. Girod, G. Pottie, and M. Srivastava, 'Instrumenting the world with wireless sensor networks,' in International Conference on Acoustics, Speech, and Signal Processing (ICASSP2001), Salt Lake City, Utah, May 2001
  2. S. Chessa and P. Santi, 'Crash faults identification in wireless sensor networks,' Computer Communications, vol. 25, no. 14, pp. 1273-1282, Sept. 2002 https://doi.org/10.1016/S0140-3664(02)00030-0
  3. K. I. Diamantaras and S. Y. Kung, Principal Component Neural Networks: Theory and Applications, John Wiley & Sons,lnc., 1996
  4. R Dunia, and S. J. Qin, 'Identification of faulty sensors using principle component analysis,' AIChE J., vol. 42, no. 10, pp. 2797-2812, 1996 https://doi.org/10.1002/aic.690421011
  5. H. Vedam and V. Venkatasubramanian, 'Automated interpretation of PCA-based process monitoring and fault diagnosis using digraphs
  6. R Dunia, 'Identification of faulty sensors using principle component analysis,' AIChE J., 42(10), 2797-2812, 1996 https://doi.org/10.1002/aic.690421011
  7. W. B. Heinzelman, Application-specific Protocol Architectures for Wireless Networks, Ph.D. dissertation, Mass. Inst. Tech., Cambridge, 2000
  8. P. Levis, N. Lee, M. Welsh, and D. Culler, 'TOSSIM: accurate and scalable simulation of entire TinyOS applica -tion,' UC Berkeley. June 26. 2003
  9. P. Levis and D. Gay, Tinyos design patterns, http:// www.cs.berkeley.edur-palltinyos-patterns, 2004
  10. W. R Heinzelman, A. Chandrakasan, and H. Balakrishnan, 'Energy-efficient communication protocol for wireless microsensor networks,' In Proceedings of the Hawaii International Conference on System Sciences, January 2000
  11. P. Levis, 'The TinyScript language,' July, 2004
  12. P. Levis, 'Ad-Hoc routing component architecture,' February 5, 2003
  13. Geoff Martin, 'An evaluation of Ad-hoc routing protocols for wireless sensor networks,' May, 2004
  14. B. Kumar, K. and Jaffe, J. M. 'Routing to Multiple destinations in computer networks,' IEEE trans. Commun. COM-31, Mar. 1983