A spatial sampling scheme based on innovations diffusion in sensor networks

IPSN 2007: Proceedings of the Sixth International Symposium on Information Processing in Sensor Networks

Volumn , Issue , 2007, Pages 323-330

  Quan, Zhi ^a   Kaiser, William J ^a   Sayed, Ali H ^a  

^a Engineering IV   (United States)

Author keywords

Distributed processing; Estimation; Innovations; Mean squared error; Sampling; Sensor networks

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; ENERGY EFFICIENCY; HEURISTIC METHODS; INNOVATION; MEAN SQUARE ERROR;

COMMUNICATION RESOURCES; DISTRIBUTED PROCESSING; DISTRIBUTED SAMPLING;

SENSOR NETWORKS;

EID: 35348825637     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1236360.1236402     Document Type: Conference Paper

References (22)

1. I. F. Akyildiz, W. Su, Y. Sankarsubramaniam, and E. Cayirci. Wireless sensor networks: A survey. Computer Networks, 38:393-422, Mar. 2002.
2. F. Gustafsson, F. Gunnarsson, N. Bergman, U. Forssell, J. Jansson, R. Karlsson, and P.-J. Nordlund. Particle filters for positioning, navigation, and tracking. IEEE Trans. Signal Processing, 50(2):425-437, Feb. 2002.
3. A. H. Sayed. Fundamentals of Adaptive Filtering. John Wiley & Sons, NJ, 2003.
4. F. Zhao, J. Shin, and J. Reich. Information-driven dynamic sensor collaboration. IEEE Signal Processing Magazine, 19(1):61-72, 2002.
5. E. Ertin, J. Fisher, and L. Potter. Maximum mutual information principle for dynamic sensor query problems. In Proc. IPSN, pages 405-416, Palo Alto, CA, Apr. 2003.
6. H. Wang, G. Pottie, K. Yao, and D. Estrin. Entropy-based sensor selection heuristic for target localization. In Proc. IPSN, pages 36-45, Berkeley, CA, Apr. 2004.
7. V. Isler and R. Bajcsy. The sensor selection problem for bounded uncertainty sensing models. In Proc. IPSN, pages 151-158, Los Angeles, CA, Apr. 2005.
8. Q. Dong. Maximizing system lifetime in wireless sensor networks. In Proc. IPSN, pages 13-19, Los Angeles, CA, Apr. 2005.
9. J. Xiao, S. Cui, Z. Q. Luo, and A. J. Goldsmith. Power scheduling of universal decentralized estimation in sensor networks. IEEE Trans. Signal Processing, 54(2):413-422, Feb. 2006.
10. S. Cui, J. Xiao, A. J. Goldsmith, Z.-Q. Luo, and H. V. Poor. Estimation diversity and energy efficiency in distributed sensing. IEEE Trans. Signal Processing, 2007.
11. M. Perillo, Z. Ignjatovic, and W. Heinzelman. An energy conservation method for wireless sensor networks employing a blue noise spatial sampling technique. In Proc. IPSN, pages 116-123, Berkeley, CA, Apr. 2004.
12. Z. Hu, J. Zhang, and L. Tong. Adaptive sensor activity control in many-to-one sensor networks. IEEE J. Select. Areas Commun., 24(8):1525-1534, Aug. 2006.
13. Z. Quan and A. H. Sayed. Innovations-based sampling over spatially-correlated sensors. In Proc. IEEE ICASSP, Honolulu, Hawaii, Apr. 2007.
14. V. Saligrama, M. Alanyali, and O. Savas. Distributed detection in sensor networks with packet losses and finite capacity links. IEEE Trans. Signal Processing, 2007.
15. V. Delouille, R. Neelamani, and R. Baraniuk. Robust distributed estimation in sensor networks using the embedded polygons algorithm. In Proc. IPSN, pages 405-413, Berkeley, CA, Apr. 2004.
16. L. Xiao, S. Boyd, and S. Lall. A scheme for robust distributed sensor fusion based on average consensus. In Proc. IPSN, pages 63-70, Los Angeles, CA, Apr. 2005.
17. R. Nowak, U. Mitra, and R. Willett. Estimating inhomogeneous fields using wireless sensor networks. IEEE J. Select. Areas Commun., 22(6):999-1006, Aug. 2004.
18. M. Rabbat and R. Nowak. Distributed optimization in sensor networks. In Proc. IPSN, pages 20-27, Berkeley, CA, Apr. 2004.
19. C. Lopes and A. H. Sayed. Distributed processing over adaptive networks. In Proc. Adaptive Sensor Array Processing Workshop, MIT Lincoln Laboratory, MA, June 2006.
20. N. A. C. Cressie. Statistics for Spatial Data. John Wiley & Sons, NJ, 1993.
21. M. C. Vuran, O. B. Akan, and I. F. Akyildiz. Spatio-temporal correlation: theory and applications for wireless sensor networks. Computer Networks, 45:245-259, 2004.
22. T. Kailath, A. H. Sayed, and B. Hassibi. Linear Estimation. Prentice-Hall, NJ, 2000.