Power constrained linear estimation in wireless sensor networks with correlated data and digital modulation

IEEE Transactions on Signal Processing

Volumn 60, Issue 2, 2012, Pages 570-584

  Chaudhary, Muhammad Hafeez ^a   Vandendorpe, Luc ^a  

^a UNIVERSITÉ CATHOLIQUE DE LOUVAIN   (Belgium)

Author keywords

Digital modulation; orthogonal multiple access channel; parameter estimation; quantization; resource management; spatial correlation; wireless sensor networks

Indexed keywords

DIGITAL MODULATIONS; MULTIPLE ACCESS CHANNELS; QUANTIZATION; RESOURCE MANAGEMENT; SPATIAL CORRELATIONS; WIRELESS SENSOR;

ALGORITHMS; AMPLITUDE MODULATION; BEAMFORMING; COMMUNICATION CHANNELS (INFORMATION THEORY); COMPUTER SIMULATION; ESTIMATION; FADING CHANNELS; IMAGE CODING; PARAMETER ESTIMATION; SENSOR DATA FUSION; SENSOR NODES; SIGNAL RECEIVERS;

SENSORS;

EID: 84855941806     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSP.2011.2175220     Document Type: Article

References (28)

1. J.-J. Xiao and Z.-Q. Luo, "Multiterminal source-channel communication over an orthogonal multiple-access channel," IEEE Trans. Inf. Theory, vol. 53, no. 9, pp. 3255-3264, Sep. 2007.
2. J.-J. Xiao, S. Cui, Z.-Q. Luo, and A. J. Goldsmith, "Power scheduling of universal decentralized estimation in sensor networks," IEEE Trans. Signal Process., vol. 54, no. 2, pp. 413-422, Feb. 2006. (Pubitemid 43141891)
3. A. Krasnopeev, J.-J. Xiao, and Z.-Q. Luo, "Minimum energy decentralized estimation in a wireless sensor network with correlated sensor noises," EURASIP J. Wireless Commun. Netw., pp. 473-482, 2005. (Pubitemid 41729856)
4. J. Li and G. Alregib, "Rate-constrained distributed estimation in wireless sensor networks," IEEE Trans. Signal Process., vol. 55, pp. 1634-1643, May 2007. (Pubitemid 46691618)
5. X. Luo and G. B. Giannakis, "Energy-constrained optimal quantization for wireless sensor networks," EURASIP J. Adv. Signal Process., vol. 2008, p. 12, 2008.
6. L. Zhang, X.-D. Zhang, T. Ho, and T. Dikaliotis, "Progressive distributed estimation over noisy channels in wireless sensor networks," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP), Taipei, Taiwan, Apr. 2009, pp. 2221-2224.
7. H. Li and J. Fang, "Distributed adaptive quantization and estimation for wireless sensor networks," IEEE Signal Process. Lett., vol. 14, no. 10, pp. 669-672, Oct. 2007. (Pubitemid 47434080)
8. Y. Huang and Y. Hua, "Energy planning for progressive estimation in multihop sensor networks," IEEE Trans. Signal Process., vol. 57, no. 10, pp. 4052-4065, Oct. 2009.
9. J. Y. Wu, Q. Z. Huang, and T. S. Lee, "Minimal energy decentralized estimation via exploiting the statistical knowledge of sensor noise variance," IEEE Trans. Signal Process., vol. 56, no. 5, pp. 2171-2176, May 2008.
10. T. C. Aysal and K. E. Barner, "Constrained decentralized estimation over noisy channels for sensor networks," IEEE Trans. Signal Process., vol. 56, no. 4, pp. 1398-1410, Apr. 2008. (Pubitemid 351493836)
11. H. Chen and P. K. Varshney, "Performance limit for distributed estimation systems with identical one-bit quantizers," IEEE Trans. Signal Process., vol. 58, no. 1, pp. 466-471, Jan. 2010.
12. J. Fang and H. Li, "Distributed adaptive quantization for wireless sensor networks: From delta modulation to maximum likelihood," IEEE Trans. Signal Process., vol. 56, no. 10, pp. 5246-5257, Oct. 2008.
13. J. Fang and H. Li, "Hyperplane-based vector quantization for distributed estimation in wireless sensor networks," IEEE Trans. Inf. Theory, vol. 55, no. 12, pp. 5682-5699, Dec. 2009.
14. J. Matamoros and C. Antón-Haro, "Bandwidth constraints in wireless sensor-based decentralized estimation schemes for Gaussian channels," in Proc. IEEE Global Commun. Conf. (GLOBECOM), New Orleans, LA, Nov./Dec. 2008, pp. 1-5.
15. M. C. Vuran, O. B. Akan, and I. F. Akylidiz, "Spatio-temporal correlation: Theory and applications for wireless sensor networks," Elsevier J. Comput. Netw., vol. 45, no. 3, pp. 245-259, Jun. 2004.
16. I. bahceci and A. K. Khandani, "Linear estimation of correlated data in wireless sensor networks with optimum power allocation and analog modulation," IEEE Trans. Commun., vol. 56, no. 7, pp. 1146-1156, Jul. 2008.
17. F. Davoli, M. Marchese, and M. Mongelli, "A decision theoretic approach to Gaussian sensor networks," in Proc. IEEE Int. Conf. Commun. (ICC), Dresden, Germany, Jun. 2009, pp. 1-5.
18. J. Fang and H. Li, "Power constrained distributed estimation with correlated sensor data," IEEE Trans. Signal Process., vol. 57, no. 8, pp. 3292-3297, Aug. 2009.
19. M. H. Chaudhary and L. Vandendorpe, "Adaptive power allocation in wireless sensor networks with spatially correlated data and analog modulation: Perfect and imperfect CSI," EURASIP J. Wireless Commun. Netw., vol. 2010, pp. 14-14, 2010.
20. M. H. Chaudhary and L. Vandendorpe, "Quantization and power allocation in wireless sensor networks with correlated data," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP), Prague, Czech Republic, May 2011, pp. 3016-3019.
21. B. Widrow and I. Kollar, Quantization Noise: Roundoff Error in Digital Computation, Signal Processing, Control and Communications. Cambridge, U.K.: Cambridge Univ. Press, 2008.
22. R. M. Gray and D. L. Neuhoff, "Quantization," IEEE Trans. Inf. Theory, vol. 44, no. 6, pp. 2325-2383, Oct. 1998.
23. S. M. Kay, Fundamentals of Statistical Signal Processing: Estimation Theory. Englewood Cliffs, NJ: Prentice-Hall, 1993.
24. S. Murugesan, "Harnessing green IT: Principles and practices," IEEE IT Professional, vol. 10, no. 1, pp. 24-33, Jan./Feb. 2008. (Pubitemid 351225229)
25. D. P. Bertsekas and J. N. Tsitsiklis, Parallel and Distributed Computation: Numerical Methods. Boston, MA: Athena Scientific, 1997.
26. S. Boyd and L. Vandenberghe, Convex Optimization. Cambridge, U.K.: Cambridge Univ. Press, 2008.
27. D. Li and X. Sun, Nonlinear Integer Programming. New York: Springer, 2006.
28. T. M. Cover and J. A. Thomas, Elements of Information Theory, 2nd ed. New York: Wiley, 2006.