Fault tolerant complex event detection in WSNs: A case study in structural health monitoring

Proceedings - IEEE INFOCOM

Volumn , Issue , 2013, Pages 1384-1392

  Liu, Xuefeng ^a   Cao, Jiannong ^a   Tang, Shaojie ^b  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^b Illinois Institute of Technology   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX EVENT DETECTION; DATA COLLABORATIONS; DISTRIBUTED EVENT DETECTIONS; HIGH-LEVEL FUSIONS; STRUCTURAL DAMAGES; STRUCTURAL HEALTH MONITORING (SHM); VOLCANO MONITORING; WIRELESS SENSOR NETWORK (WSNS);

ITERATIVE METHODS; SENSORS; STRUCTURAL ANALYSIS; STRUCTURAL HEALTH MONITORING;

SENSOR NODES;

EID: 84883072033     PISSN: 0743166X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/INFCOM.2013.6566932     Document Type: Conference Paper

References (15)

1. T. Clouqueur, K. Saluja, and P. Ramanathan, Fault tolerance in collaborative sensor networks for target detection, Computers, IEEE Transactions on, vol. 53, no. 3, pp. 320-333, 2004.
2. B. Krishnamachari and S. Iyengar, Distributed bayesian algorithms for fault-tolerant event region detection in wireless sensor networks, Computers, IEEE Transactions on, vol. 53, no. 3, pp. 241-250, 2004.
3. X. Luo and et al., On distributed fault-tolerant detection in wireless sensor networks, IEEE Transactions on Computers, pp. 58-70, 2006.
4. S. Doebling and et al., Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: a literature review, Los Alamos National Lab Report, Tech. Rep., 1996.
5. Werner-Allen and et al., Monitoring volcanic eruptions with a wireless sensor network, in Wireless Sensor Networks, 2005. Proceeedings of the Second European Workshop on, 2005, pp. 108-120.
6. M. Ding and et al., Localized fault-tolerant event boundary detection in sensor networks, in INFOCOM 2005, vol. 2, 2005, pp. 902-913.
7. S. Guo, Z. Zhong, and T. He, Find: faulty node detection for wireless sensor networks, in ACM SenSys, 2009, pp. 253-266.
8. M. Friswell and D. Inman, Sensor validation for smart structures, Journal of intelligent material systems and structures, vol. 10, no. 12, pp. 973-982, 1999.
9. K. Worden, Sensor validation and correction using auto-associative neural networks and principal component analysis, Proceedings of the IMAC-XXI, pp. 973-982, 2003.
10. G. Kerschen, P. De Boe, J. Golinval, and K. Worden, Sensor validation using principal component analysis, Smart materials and structures, vol. 14, p. 36, 2005.
11. A. Pandey, M. Biswas, and M. Samman, Damage detection from changes in curvature mode shapes, Journal of sound and vibration, vol. 145, no. 2, pp. 321-332, 1991.
12. X. Liu, J. Cao, S. Lai, C. Yang, H. Wu, and Y. Xu, Energy efficient clustering for wsn-based structural health monitoring, in INFOCOM, 2011 Proceedings IEEE. IEEE, 2011, pp. 2768-2776.
13. X. Liu, J. Cao, M. Bhuiyan, S. Lai, H. Wu, and G. Wang, Fault tolerant wsn-based structural health monitoring, in Dependable Systems & Networks (DSN), 2011 IEEE/IFIP 41st International Conference on. IEEE, 2011, pp. 37-48.
14. J. Bendat and A. Piersol, Engineering applications of correlation and spectral analysis, New York, Wiley-Interscience, vol. 1, 1980.
15. J. Oakland, Statistical process control, 1986.