Browse > Article
http://dx.doi.org/10.5302/J.ICROS.2007.13.5.481

Development of Intelligent Data Validation Scheme for Sensor Network  

Youk, Yui-Su (군산대학교 전자정보공학부)
Kim, Sung-Ho (군산대학교 전자정보공학부)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.13, no.5, 2007 , pp. 481-486 More about this Journal
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.
Keywords
Wireless Sensor Network(WSN); Principle Component Analysis(PCA); embedded system; diagnosis;
Citations & Related Records
연도 인용수 순위
  • Reference
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   DOI   ScienceOn
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   DOI   ScienceOn
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   DOI   ScienceOn
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 Geoff Martin, 'An evaluation of Ad-hoc routing protocols for wireless sensor networks,' May, 2004
13 B. Kumar, K. and Jaffe, J. M. 'Routing to Multiple destinations in computer networks,' IEEE trans. Commun. COM-31, Mar. 1983
14 P. Levis, 'Ad-Hoc routing component architecture,' February 5, 2003