Bandwidth-constrained distributed estimation for wireless sensor networks - Part I: Gaussian case

IEEE Transactions on Signal Processing

Volumn 54, Issue 3, 2006, Pages 1131-1143

  Ribeiro, Alejandro ^a   Giannakis, Georgios B ^a  

^a University of Minnesota   (United States)

Author keywords

Parameter estimation; Wireless sensor networks

Indexed keywords

ALGORITHMS; BANDWIDTH; MAXIMUM LIKELIHOOD ESTIMATION; OPTIMIZATION; PARAMETER ESTIMATION;

NUMERICAL MAXIMIZATION; OPTIMUM QUANTIZATION; WIRELESS SENSOR NETWORKS;

SENSOR DATA FUSION;

EID: 33244491229     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSP.2005.863009     Document Type: Article

References (23)

1. M. Abdallah and H. Papadopoulos, "Sequential signal encoding and estimation for distributed sensor networks," in Proc. Int. Conf. Acoustics, Speech, Signal Processing, vol. 4, Salt Lake City, UT, May 2001, pp. 2577-2580.
2. E. Ayanoglu, "On optimal quantization of noisy sources," IEEE Trans. Inf. Theory, vol. 36, no. 6, pp. 1450-1452, Nov. 1990.
3. B. Beferull-Lozano, R. L. Konsbruck, and M. Vetterli, "Rate-distortion problem for physics based distributed sensing," in Proc. Int. Conf. Acoustics, Speech, Signal Processing, vol. 3, Montreal, QC, Canada, May 2004, pp. 913-916.
4. D. Blatt and A. Hero, "Distributed maximum likelihood estimation for sensor networks," in Proc. Int. Conf. Acoustics, Speech, Signal Processing, vol. 3, Montreal, QC, Canada, May 2004, pp. 929-932.
5. S. Boyd and L. Vandenberghe, Convex Optimization. Cambridge, U.K.: Cambridge Univ. Press, 2004.
6. E. Ertin, R. Moses, and L. Potter, "Network parameter estimation with detection failures," in Proc. Int. Conf. Acoustics, Speech, Signal Processing, vol. 2, Montreal, QC, Canada, May 2004, pp. 273-276.
7. J. Gubner, "Distributed estimation and quantization," IEEE Trans. Inf. Theory, vol. 39, no. 4, pp. 1456-1459, Jul. 1993.
8. S. M. Kay, Fundamentals of Statistical Signal Processing - Estimation Theory. Englewood Cliffs, NJ: Prentice-Hall, 1993.
9. S. Kumar, F. Zao, and D. Shepherd, Eds., IEEE Signal Process. Mag. (Special Issue on Collaborative Information Processing), Mar. 2002, vol. 19.
10. W. Lam and A. Reibman, "Quantizer design for decentralized systems with communication constraints," IEEE Trans. Commun., vol. 41, pp. 1602-1605, Aug. 1993.
11. Z.-Q. Luo, "Universal decentralized estimation in a bandwidth constrained sensor network," IEEE Trans. Inf. Theory, vol. 51, no. 6, pp. 2210-2219, Jun. 2005.
12. Z.-Q. Luo, "An isotropic universal decentralized estimation scheme for a bandwidth constrained ad hoc sensor network," IEEE J. Sel. Areas Commun., vol. 23, no. 4, pp. 735-744, Apr. 2005.
13. Z.-Q. Luo and J.-J. Xiao, "Decentralized estimation in an inhomogeneous sensing environment," IEEE Trans. Inf. Theory, vol. 51, no. 10, pp. 3564-3575, Oct. 2005.
14. R. D. Nowak, "Distributed EM algorithms for density estimation and clustering in sensor networks," IEEE Trans. Signal Process., vol. 51, no. 8, pp. 2245-2253, Aug. 2002.
15. H. Papadopoulos, G. Wornell, and A. Oppenheim, "Sequential signal encoding from noisy measurements using quantizers with dynamic bias control," IEEE Trans. Inf. Theory, vol. 47, no. 3, pp. 978-1002, Mar. 2001.
16. B. Porat, Digital Processing of Random Signals. Englewood Cliffs, NJ: Prentice-Hall, 1994.
17. S. S. Pradhan, J. Kusuma, and K. Ramchandran, "Distributed compression in a dense microsensor network," IEEE Signal Process. Mag., vol. 19, no. 2, pp. 51-60, Mar. 2002.
18. J. G. Proakis, Digital Communications, 4th ed. New York: McGraw-Hill Higher Education, 2001.
19. M. G. Rabbat and R. D. Nowak, "Decentralized source localization and tracking," in Proc. Int. Conf. Acoustics, Speech, Signal Processing, vol. 3, Montreal, QC, Canada, May 2004, pp. 921-924.
20. A. Ribeiro and G. B. Giannakis, "Distributed estimation in Gaussian noise for bandwidth-constrained wireless sensor networks," in Proc. 38th Asilomar Conf. Signals, Systems, Computers, vol. 2, Monterrey, CA, Nov. 7-10, 2004, pp. 1407-1411.
21. J. F. Sturm. Using Sedumi 1.02, a Matlab Toolbox for Optimization Over Symmetric Cones. [Online]. Available: http://fewcal.kub.nl/sturm/ software/sedumi.html
22. Y. Sung, L. Tong, and A. Swami, "Asymptotic locally optimal detector for large-scale sensor networks under the Poisson regime," in Proc. Int. Conf. Acoustics, Speech, Signal Processing, vol. 2, Montreal, QC, Canada, May 2004, pp. 1077-1080.
23. P. K. Varshney, Distributed Detection and Data Fusion. New York: Springer-Verlag, 1997.