Table of Contents Author Guidelines Submit a Manuscript
Mathematical Problems in Engineering
Volume 2013, Article ID 712028, 8 pages
http://dx.doi.org/10.1155/2013/712028
Research Article

A Self-Learning Sensor Fault Detection Framework for Industry Monitoring IoT

1State Key Laboratory of Software Development Environment, Beihang University, Beijing 100191, China
2Information Center of Guangdong Power Grid Corporation, China Southern Power Grid, Guangzhou 510620, China
3Beijing Guotie Huachen Communication & Infomation Technology Co., Ltd., Beijing 10070, China
4Beijing Electronic Science and Technology Institute, Beijing 100070, China

Received 8 June 2013; Accepted 3 August 2013

Academic Editor: Zhongmei Zhou

Copyright © 2013 Yu Liu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. Y. Liu and G. Zhou, “Key technologies and applications of internet of things,” in Proceedings of the 5th International Conference on Intelligent Computation Technology and Automation (ICICTA '12), pp. 197–200, Zhangjiajie, China, January 2012. View at Publisher · View at Google Scholar · View at Scopus
  2. W. Baoyun, “Review on Internet of Things,” Journal of Electronic Measurement and Instrument, vol. 23, no. 12, pp. 1–7, 2009. View at Google Scholar
  3. S. Haller, S. Karnouskos, and C. Schroth, “The internet of things in an enterprise context,” in Future Internet, vol. 5468 of Lecture Notes in Computer Science, pp. 14–28, Springer, Berlin, Germany, 2009. View at Publisher · View at Google Scholar
  4. I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, “A survey on sensor networks,” IEEE Communications Magazine, vol. 40, no. 8, pp. 102–105, 2002. View at Publisher · View at Google Scholar · View at Scopus
  5. L. Paradis and Q. Han, “A survey of fault management in wireless sensor networks,” Journal of Network and Systems Management, vol. 15, no. 2, pp. 171–190, 2007. View at Publisher · View at Google Scholar · View at Scopus
  6. Y. Zhang, N. Meratnia, and P. Havinga, “Outlier detection techniques for wireless sensor networks: a survey,” IEEE Communications Surveys and Tutorials, vol. 12, no. 2, pp. 159–170, 2010. View at Publisher · View at Google Scholar · View at Scopus
  7. K. Ni, N. Ramanathan, M. N. H. Chehade et al., “Sensor network data fault types,” ACM Transactions on Sensor Networks, vol. 5, no. 3, pp. 1–29, 2009. View at Publisher · View at Google Scholar · View at Scopus
  8. N. Bressan, L. Bazzaco, N. Bui, P. Casari, L. Vangelista, and M. Zorzi, “The deployment of a smart monitoring system using wireless sensor and actuator networks,” Proceedings of International Conference on Smart Grid Communications, pp. 49–54, 2010. View at Google Scholar
  9. A. P. Castellani, M. Gheda, N. Bui, M. Rossi, and M. Zorzi, “Web services for the Internet of things through CoAP and EXI,” in Proceedings of the IEEE International Conference on Communications Workshops (ICC '11), pp. 1–6, Kyoto, Japan, June 2011. View at Publisher · View at Google Scholar · View at Scopus
  10. S. Yuan, X. Lai, X. Zhao, X. Xu, and L. Zhang, “Distributed structural health monitoring system based on smart wireless sensor and multi-agent technology,” Smart Materials and Structures, vol. 15, no. 1, pp. 1–8, 2006. View at Publisher · View at Google Scholar · View at Scopus
  11. N. Bui and M. Zorzi, “Health care applications: a solution based on the Internet of Things,” in Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL '11), article 131, October 2011. View at Publisher · View at Google Scholar · View at Scopus
  12. C. Guestrin, P. Bodik, R. Thibaux, M. Paskin, and S. Madden, “Distributed regression: an efficient framework for modeling sensor network data,” in Proceedings of the 3rd International Symposium on Information Processing in Sensor Networks (IPSN '04), pp. 1–10, Berkeley, Calif, USA, April 2004. View at Scopus
  13. J. Considine, M. Hadjieleftheriou, F. Li, J. Byers, and G. Kollios, “Robust approximate aggregation in sensor data management systems,” ACM Transactions on Database Systems, vol. 34, no. 1, article 6, 2009. View at Publisher · View at Google Scholar · View at Scopus
  14. M. B. Greenwald and S. Khanna, “Power-conserving computation of order-statistics over sensor networks,” in Proceedings of the 23rd ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems (PODS '04), pp. 275–285, Paris, France, June 2004. View at Scopus
  15. A. Jain, E. Y. Chang, and Y.-F. Wang, “Adaptive stream resource management using Kalman Filters,” in Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD '04), pp. 11–22, Paris, France, June 2004. View at Scopus
  16. C. Olston, J. Jiang, and J. Widom, “Adaptive filters for continuous queries over distributed data streams,” in Proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 563–574, June 2003. View at Scopus
  17. K. Yamanishi, J.-I. Takeuchi, and G. Williams, “On-line unsupervised outlier detection using finite mixtures with discounting learning algorithms,” in Proceedings of the 6th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD '01), pp. 320–324, August 2000. View at Scopus
  18. H.-L. Chan, T.-W. Lam, L.-K. Lee, and H.-F. Ting, “Continuous monitoring of distributed data streams over a time-based sliding window,” Algorithmica, vol. 62, no. 3-4, pp. 1088–1111, 2012. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet
  19. M. Ding, D. Chen, K. Xing, and X. Cheng, “Localized fault-tolerant event boundary detection in sensor networks,” in Proceedings of the 24th Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM '05), pp. 902–913, March 2005. View at Publisher · View at Google Scholar · View at Scopus
  20. J.-L. Gao, Y.-J. Xu, and X.-W. Li, “Weighted-median based distributed fault detection for wireless sensor networks,” Journal of Software, vol. 18, no. 5, pp. 1208–1217, 2007. View at Publisher · View at Google Scholar · View at Scopus
  21. B. Krishnamachari and S. Iyengar, “Distributed Bayesian algorithms for fault-tolerant event region detection in wireless sensor networks,” IEEE Transactions on Computers, vol. 53, no. 3, pp. 241–250, 2004. View at Publisher · View at Google Scholar · View at Scopus
  22. D. W. Marquardt, “An algorithm for least-squares estimation of nonlinear parameters,” Journal of the Society For Industrial & Applied Mathematics, vol. 11, no. 2, pp. 431–441, 1963. View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet
  23. X. Su, Y. Lan, R. Wan, and Y. Qin Y, “A fast incremental clustering algorithm,” in Proceedings of the International Symposium on Information Processing (ISIP '09), pp. 175–178, Huangshan, China, 2009.