Consensus in Ad hoc WSNs with noisy links-part II: Distributed estimation and smoothing of random signals

IEEE Transactions on Signal Processing

Volumn 56, Issue 4, 2008, Pages 1650-1666

  Schizas, Ioannis D ^a   Giannakis, Georgios B ^a   Roumeliotis, Stergios I ^a   Ribeiro, Alejandro ^a  

^a University of Minnesota   (United States)

Author keywords

Distributed estimation; Kalman smoother; Nonlinear optimization; Wireless sensor networks (WSNs)

Indexed keywords

AD HOC NETWORKS; ITERATIVE METHODS; KALMAN FILTERS; MEAN SQUARE ERROR; PARALLEL ALGORITHMS; STATE ESTIMATION;

DISTRIBUTED ESTIMATION; LINEAR MINIMUM MEAN-SQUARE ERROR; MAXIMUM A POSTERIORI; SMOOTHING ALGORITHM;

WIRELESS SENSOR NETWORKS;

EID: 41849143803     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSP.2007.908943     Document Type: Article

References (24)

1. M. Alanyali and V. Saligrama, "Distributed tracking in multi-hop networks with communication delays and packet losses," in Proc. IEEE Workshop Stat. Signal Process., Jul. 2005, pp. 1190-1195.
2. P. Alricksson and A. Rantzer, "Distributed Kalman filtering using weighted averaging," presented at the 17th Intl. Symp. Math Theory of Nets. Systems, Kyoto, Japan, Jul. 2006.
3. B. D. Anderson and J. B. Moore, Optimal Filtering. Englewood Cliffs, NJ: Prentice-Hall, 1979.
4. Y. Bar-Shalom, X. R. Li, and T. Kirubarajan, Estimation With Applications to Tracking and Navigation. New York: Wiley, 2001.
5. S. Barbarossa and G. Scutari, "Decentralized maximum likelihood estimation for sensor networks composed of nonlinearly coupled dynamical systems," IEEE Trans. Signal Process., vol. 55, no. 7, pp. 3456-3470, Jul. 2007.
6. D. Bertsekas and J. Tsitsiklis, Parallel and Distributed Computation: Numerical Methods, 2nd ed. Belmont, MA: Athena Scientific, 1999.
7. S. Boyd and L. Vandenberghe, Convex Optimization. Cambridge, U.K.: Cambridge Univ. Press, 2004.
8. V. Delouille, R. Neelamani, and R. Baraniuk, "Robust distributed estimation in sensor networks using the embedded polygons algorithm," IEEE Trans. Signal Process., vol. 54, no. 8, pp. 2998-3010, Aug. 2006.
9. A. Dogandzic and B. Zhang, "Distributed estimation and detection for sensor networks using hidden Markov random field models," IEEE Trans. Signal Process., vol. 54, no. 8, pp. 3200-3215, Aug. 2006.
10. P. Gupta and P. R. Kumar, "The capacity of wireless networks," IEEE Trans. Inf. Theory, pp. 388-404, Mar. 2000.
11. R. A. Horn and C. R. Johnson, Matrix Analysis. Cambridge, U.K.: Cambridge Univ. Press, 1999.
12. S. M. Kay, Fundamentals of Statistical Signal Processing: Estimation Theory. Englewood Cliffs, NJ: Prentice-Hall, 1993.
13. R. Olfati-Saber, "Distributed Kalman filter with embedded consensus filters," in Proc. 44th IEEE Conf. Dec., Eur. Contr. Conf., Seville, Spain, Dec. 2005, pp. 8179-8184.
14. R. Olfati-Saber and R. M. Murray, "Consensus problems in networks of agents with switching topology and time-delays," IEEE Trans. Autom. Control, vol. 49, no. 9, pp. 1520-1533, Sep. 2004.
15. R. Olfati-Saber and J. S. Shamma, "Consensus filters for sensor networks and distributed sensor fusion," in Proc. 44th IEEE Conf. Dec., Eur. Control Conf., Seville, Spain, Dec. 2005, pp. 6698-6703.
16. D. Scherber and H. C. Papadopoulos, "Distributed computation of averages over ad hoc networks," IEEE J. Sel. Areas Commun., vol. 23, no. 4, pp. 776-787, Apr. 2005.
17. I. D. Schizas, A. Ribeiro, and G. B. Giannakis, "Consensus in ad hoc WSNs with noisy links - Part I: Distributed estimation of deterministic signals," IEEE Trans. Signal Process. vol. 56, no. 1, pp. 350-364, Jan. 2008.
18. S. F. Shah, A. Ribeiro, and G. B. Giannakis, "Bandwidth-constrained MAP estimation for wireless sensor networks," in Proc. 39th Asilomar Conf. Signals, Systems, Computers, Monterey, CA, Oct. 2005, pp. 215-219.
19. D. P. Spanos, R. Olfati-Saber, and R. J. Murray, "Approximate distributed Kalman filtering in sensor networks with quantifiable performance," presented at the 4th Int. Symp. Inf. Processing in Sensor Networks, Los Angeles, CA, 2005.
20. D. P. Spanos, R. Olfati-Saber, and R. J. Murray, "Distributed sensor fusion using dynamic consensus," presented at the IFAC, Prague, Czech Republic, 2005.
21. J. Wu and H. Li, "A dominating-set-based routing scheme in ad hoc wireless networks," Telecommun. Syst. J., vol. 3, pp. 63-84, Sep. 2001.
22. L. Xiao and S. Boyd, "Fast linear iterations for distributed averaging," Syst. Control Lett., pp. 65-78, Sep. 2004.
23. L. Xiao, S. Boyd, and S.-J. Kim, "Distributed average consensus with least mean-square deviation," J. Parallel Distrib. Comput., vol. 67, pp. 33-46, Jan. 2007.
24. L. Xiao, S. Boyd, and S. Lall, "A scheme for robust distributed sensor fusion based on average consensus," in Proc. 4th Int. Symp. Inf. Processing Sensor Networks, Berkeley, CA, 2005, pp. 63-70.