Journal of information and communication convergence engineering

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
권호 표지
DOI QR코드

DOI QR Code

Discovery of and Recovery from Failure in a Costal Marine USN Service

  • Ceong, Hee-Taek (Department of Digital Convergence, Chonnam National University) ;
  • Kim, Hae-Jin (Department of Digital Convergence, Chonnam National University) ;
  • Park, Jeong-Seon (Department of Digital Convergence, Chonnam National University)
  • Received : 2011.11.16
  • Accepted : 2011.12.20
  • Published : 2012.03.31
Download PDF
⟨ Previous Next ⟩

Abstract

In a marine ubiquitous sensor network (USN) system using expensive sensors in the harsh ocean environment, it is very important to discover failures and devise recovery techniques to deal with such failures. Therefore, in order to perform failure modeling, this study analyzes the USN-based real-time water quality monitoring service of the Gaduri Aqua Farms at Songdo Island of Yeosu, South Korea and devises methods of discovery and recovery of failure by classifying the types of failure into system element failure, communication failure, and data failure. In particular, to solve problems from the perspective of data, this study defines data integrity and data consistency for use in identifying data failure. This study, by identifying the exact type of failure through analysis of the cause of failure, proposes criteria for performing relevant recovery. In addition, the experiments have been made to suggest the duration as to how long the data should be stored in the gateway when such a data failure occurs.

Keywords

References

  1. J. Yick, B. Mukherjee, D. Ghosal, "Wireless sensor network survey," Computer Networks, vol.52, no. 12, pp. 2292-2330, 2008. https://doi.org/10.1016/j.comnet.2008.04.002
  2. L. Gavrilovska, S. Krco, V. Milutinovic, I. Stojmenovic, and R. Trobec, Application and multidisciplinary aspects of wireless sensor networks: concepts, integration, and case studies, London: Springer-Verlag, 2011.
  3. D. H. Ryu, H. J. Na, and S. H. Nam, "Implementation of a USNbased disaster prevention system in Korea," International Journal of Computers, vol. 3, no. 1, pp. 11-19, 2009.
  4. Y. M. Kim, "Concept, types and terms of USN technology," Seminar materials on USN Technology and Standard Trend, Seoul, 2006.
  5. National IT Industry Promotion Agency (NIPA), "Report on 2006's USN site testing result," Seoul: NIPA, 2007.
  6. Korea Hydrographic Oceanographic Administration (KHOA), "Suncheon Bay USN marine cluster and convergence service system," Incheon: KHOA, 2010.
  7. Songdo Island of Yeosu-City [Internet]. Available: http://www.yeosusongdo.com.
  8. Korea Hydrographic and Oceanographic Administration [Internet]. Available: http://www.khoa.go.kr.
  9. E. S. Youk, S. U. Yun, and S. H. Kim, "Development of fault detection algorithm applicable to sensor network system," Journal of Fuzzy Logic and Intelligent Systems, vol. 17, no. 6, pp. 760-765, 2007. https://doi.org/10.5391/JKIIS.2007.17.6.760
  10. G. Gupta and M. Younis, "Fault-tolerant clustering of wireless sensor networks," Wireless Communications and Networking, vol. 3, pp.1579-1584, 2003.
  11. A. Akbari, A. Dana, A. Khademzadeh, and N. Beikmahdavi, "Fault detection and recovery in wireless sensor network using clustering," International Journal of Wireless & Mobile Networks, vol. 3, no. 1, pp. 130-138, 2011. https://doi.org/10.5121/ijwmn.2011.3112
  12. F. Koushanfar, M. Potkonjak, and A. Sangiovanni-Vincentell, "Fault tolerance techniques for wireless ad hoc sensor networks," Proceedings of IEEE Sensors, Orlando, pp. 1491-1496, 2002.
  13. T. Clouqueur, K. K. Saluja, and P. Ramanathan, "Fault tolerance in collaborative sensor networks for target detection," IEEE Transactions on Computers, vol. 53, no. 3, pp. 320-333, 2004. https://doi.org/10.1109/TC.2004.1261838
  14. G. Huang, Y. Zhang, J. He, and J. Cao, "Fault tolerance in data gathering wireless sensor networks," The Computer Journal, vol. 54, no. 6, pp. 976-987, 2011. https://doi.org/10.1093/comjnl/bxr027
  15. P. Jiang, "A new method for node fault detection in wireless sensor networks," Sensors, vol. 9, no. 2, pp. 1282-1294, 2009. https://doi.org/10.3390/s90201282
  16. P. Jiang, H. Xia, Z. He, and Z. Wang, "Design of a water environment monitoring system based on wireless sensor networks," Sensors, vol. 9, no. 8, pp. 6411-6434, 2009. https://doi.org/10.3390/s90806411
  17. C. Li, G. Tan, J. Wu, Z. Zhang, and L. Xu, "A LEACH-head expected frequency appraisal algorithm for water-environment monitoring networks," International J of Communications, Network and System Sciences, vol. 4, no. 9, pp. 562-567, 2011. https://doi.org/10.4236/ijcns.2011.49067
  18. Open Standards and Internet Association, "A study on secure management of sensor network in USN service," Korea Internet & Security Agency, Seoul, Report No. KISA-WP-2009-0042, 2009.

Cited by

  1. A New Fuzzy Logic-Based Similarity Measure Applied to Large Gap Imputation for Uncorrelated Multivariate Time Series vol.2018, pp.1687-9732, 2018, https://doi.org/10.1155/2018/9095683