Compressive sampling-based data loss recovery for wireless sensor networks used in civil structural health monitoring

Structural Health Monitoring

Volumn 12, Issue 1, 2013, Pages 78-95

  Bao, Yuequan ^a   Li, Hui ^a   Sun, Xiaodan ^b   Yu, Yan ^c   Ou, Jinping ^a,c  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b HARBIN ENGINEERING UNIVERSITY   (China)

^c DALIAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

compressive sampling; Data loss recovery; sparsity; structural health monitoring; wireless sensor network

Indexed keywords

ACCELERATION TIME SERIES; CIVIL STRUCTURAL HEALTH MONITORING; COMPRESSIVE SAMPLING; DATA LOSS; FIELD TEST; LINEAR PROJECTIONS; NOVEL APPLICATIONS; ORTHONORMAL BASIS; RANDOM MATRIX; SAMPLING-BASED; SPARSITY; STRUCTURAL HEALTH MONITORING SYSTEMS; WIRELESS SENSOR; WIRELESS SENSOR NODE;

BASE STATIONS; DATA COMMUNICATION SYSTEMS; SENSOR NODES; STRUCTURAL HEALTH MONITORING; WIRELESS SENSOR NETWORKS;

RECOVERY;

EID: 84872350700     PISSN: 14759217     EISSN: 17413168     Source Type: Journal    
DOI: 10.1177/1475921712462936     Document Type: Article

References (32)

1. Lynch JP,Loh KJ.A summary review of wireless sensors and sensor networks for structural health monitoring.Shock Vib Digest. 2005;38 (2): 91-128.
2. Spencer BF,Ruiz-Sandoval M,Kurata N.Smart sensing technology: opportunities and challenges.Struct Control Health Monitor. 2004;11:349-368.
3. Pei JS,Kapoor C,Graves-Abe TL, et al.Critical design parameters and operating conditions of wireless sensor units for structural health monitoring. Proceedings of the 23rd international modal analysis conference (IMAC XXIII); Orlando, FL
4. Kurata N,Spencer BF,Ruiz-Sandoval M.Building risk monitoring using wireless sensor network.; Vancouver, BC, Canada
5. Meyer J,Bischoff RB,Feltrin G, et al.Wireless sensor network for long-term structural health monitoring.Smart Struct Syst. 2010;6 (3): 263-275.
6. Casciati F,Faraveli L,Borghetti F.Smart structures and materials 2003: smart systems and nondestructive evaluation for civil infrastructures, proceedings of the SPIE. San Diego, CA:; 2003:1-7.
7. LindermanLEMechitovKASpencerBF. Real-time wireless data acquisition for structural health monitoring and control. NSEL Report Series. Report no. NSEL-029, 2011, https://www.ideals.illinois.edu/handle/2142/3521.
8. NagayamaTSpencerBFJr. Structural health monitoring using smart sensors. NSEL Report Series. Report no. NSEL-001, 2007, http://hdl.handle.net/2142/3521.
9. Nagayama T,Sim SH,Miyamori Y, et al.Issues in structural health monitoring employing smart sensors.Smart Struct Syst. 2007;3 (3): 299-320.
10. Candès EJ.Compressive sampling. Proceedings of the international congress of mathematicians; Madrid, Spain;. 1433.
11. Candès EJ,Tao T.Decoding by linear programming.IEEE Trans Inform Theory. 2005;51:4203-4215.
12. Candès EJ,Romberg J,Tao T.Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information.IEEE Trans Inform Theory. 2006;52 (2): 489-509.
13. Donoho D.Compressed sensing.IEEE Trans Inform Theory. 2006;52 (4): 1289-1306.
14. Baraniuk R.A lecture on compressive sensing.IEEE Signal Proc Mag. 2007;24 (4): 118-121.
15. Candès E,Wakin M.An introduction to compressive sampling.IEEE Signal Proc Mag. 2008;25 (2): 21-30.
16. Candès E,Tao T.Near-optimal signal recovery from random projections: universal encoding strategies?.IEEE Trans Inform Theory. 2006;52 (12): 5406-5425.
17. Candès E,Romberg J.Practical signal recovery from random projections. Proceedings of 3rd SPIE international symposium on electronic imaging: computational imaging; 2005San Jose, CA; 2005
18. Takhar D,Laska JN,Wakin MB, et alComputational imaging IV at SPIE electronic imaging. San Jose, CA:; 2006:.
19. Bajwa WU,Haupt J,Sayeed AM, et al.Compressive wireless sensing. Proceeding of the 5th international conference on information processing in sensor networks (IPSN '06); 2006Nashville, Tennessee, USA; 2006. 134.
20. Mahmudimanesh M,Khelil A,Suri N.Reordering for better compressibility: efficient spatial sampling in wireless sensor networks. The third IEEE international conference on sensor networks, ubiquitous, and trustworthy computing (SUTC); Newport Beach, California, USA;. 50.
21. Kirolos S,Laska J,Wakin M, et al.Analog-to-information conversion via random demodulation. IEEE Dallas circuits and systems workshop; Dallas, Texas;. 71.
22. Charbiwala Z,Chakraborty S,Zahedi S, et al.Compressive oversampling for robust data transmission in sensor networks. IEEE International Conference on Computer Communications; San Diego, California, USA;. 1.
23. Gaeta R,Grangetto M,Sereno M.Local access to sparse and large global information in P2P networks: a case for compressive sensing.; Delft, Netherlands
24. Bao Y,Beck JL,Li H.Compressive sampling for accelerometer signals in structural health monitoring.Struct Health Monit. 2011;10 (3): 235-246.
25. Bao Y,Li H,Beck JL, et al.Investigation of compressive sampling for structural vibration data. 4th international conference on structural health monitoring on intelligent infrastructure (SHMII-4); Zurich, Switzerland
26. Chen S,Donoho DL,Saunders MA.Atomic decomposition by basis pursuit.SIAM J Sci Comput. 1999;20 (1): 33-61.
27. Mallat S,Zhang Z.Matching pursuits with time-frequency dictionaries.IEEE T Signal Proces. 1993;41 (12): 3397-3415.
28. Tropp JA,Gilbert AC.Signal recovery from random measurements via orthogonal matching pursuit.IEEE Trans Inform Theory. 2007;1 (1): 1-12.
29. Candes E,Eldar YC,Needell D, et al.Compressed sensing with coherent and redundant dictionaries.Appl Comput Harmon Anal. 2011;31 (1): 1-21.
30. Yu Y.,Li Z.,Ou J.Design and balidation of fast wireless vibration inspection system for offshore platform. The 6th International Workshop on Advanced Smart Materials and Smart Structures Technology, ANCRiSST2011; 2011Dalian, China; 2011
31. Yu Y,Ou J,Li H.Design, calibration and application of wireless sensors for structural global and local monitoring of civil infrastructures.Smart Struct Syst. 2010;6 (5): 641-659.
32. Yu Y,Ou J,Zhang J, et al.Development of wireless MEMS inclination sensor system for swing monitoring of large scale hook structures.IEEE Trans Ind Electron. 2009;56 (4): 1072-1078.