Distributed parameter estimation for monitoring diffusion phenomena using physical models

2004 First Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, IEEE SECON 2004

Volumn , Issue , 2004, Pages 460-469

  Rossi, Lorenzo A ^a   Krishnamachari, Bhaskar ^a   Kuo, C C Jay ^a  

^a University of Southern California ^*  (United States)

Author keywords

Data gathering; Diffusion phenomena; Distributed identification; Partial differential equations; Physical models; Prediction; Sensor networks

Indexed keywords

BOUNDARY CONDITIONS; DATA ACQUISITION; MATHEMATICAL MODELS; PARAMETER ESTIMATION; PARTIAL DIFFERENTIAL EQUATIONS; SENSORS;

DATA GATHERING; DIFFUSION PHENOMENA; DISTRIBUTED IDENTIFICATIONN; PHYSICAL MODELS; SENSOR NETWORKS;

DIFFUSION;

EID: 20344384519     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. W. Rabiner Heinzelman, A. Chandrakasan, and H. Balakrishnan, "Energy efficient communication protocol for wireless sensor networks," in Proc. International Conference on System Sciences, January 2000, vol. 33.
2. R. Ghez, Diffusion Phenomena, Kluwer Academic/Plenum Publishers, 2nd edition, 2001.
3. L. A. Rossi, B. Krishnamachari, and C.-C. Jay Kuo, "Monitoring of diffusion processes with pde models in wireless sensor networks," in Defense and Security Symposium 2004, April 12-16 2004.
4. B. Beferull-Lozano, R. L. Konsbruck, and M. Vetterli, "Rate-distortion problem for physics based distributed sensing," in Information Processing in Sensor Networks (IPSN), April 26-27 2004.
5. Y. Orlov and J. Bentsman, "Adaptive distributed parameter systems identification with enforceable identificability conditions and reduced-order spatial differentiation," IEEE Trans. on Automatic Control, vol. 45, no. 2, pp. 36-50, February 2000.
6. V. Isakov and S. Kindermann, "Identification of the diffusion coefficient in a one-dimensional parabolic equation," Inverse Problems, vol. 16, no. 2000, pp. 665-680, 2000.
7. th World Congress on Intelligent Control and Automation, June 2002, pp. 1817-1821.
8. J. Baumeister, W. Scondo, M.A. Demetrioiu, and I.G. Rosen, "On-line parameter estimation for infinite dimensional dynamical systems," SIAM J. Control Optimization, vol. 35, no. 2, pp. 678-713, March 1997.
9. R.F. Curtain and H.J. Zwart, An Intoduction to Infinite-Dimensional Linear Systems Theory, Springer Verlag, 1995.
10. J. Yin, V.L. Syrmos, and D.Y.Y Yun, "System identification using nonlinear filtering methods with applications to medical imaging," in 39th IEEE Conference on Decision and Control, December 2000, vol. 4, pp. 3313-3318.
11. G. Tell, Introduction to Distributed Algorithms, Cambridge University Press, 1994.
12. J. M. Mendel, Lessons in Estimation Theory for Signal Processing, Communications and Control, Prentice Hall, 1995.
13. L. Ljung, "Asymptotic behavior of the extended kalman filter as a parameter estimator for linear systems," IEEE Trans. on Automatic Control, vol. AC-24, no. 1, pp. 36-50, February 1979.