Localization of wireless sensors using compressive sensing for manifold learning

IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC

Volumn , Issue , 2009, Pages 2715-2719

  Feng, Chen ^a,b   Valaee, Shahrokh ^a   Tan, Zhenhui ^b  

^a UNIVERSITY OF TORONTO   (Canada)

^b BEIJING JIAOTONG UNIVERSITY   (China)

Author keywords

Compressive sensing; CSML; Localization; Manifold learning; Wireless sensor networks

Indexed keywords

COST REDUCTION; MATRIX ALGEBRA; RADIO COMMUNICATION; SENSOR NODES; SIGNAL SAMPLING; WIRELESS SENSOR NETWORKS;

COMMUNICATION COST REDUCTION; COMPRESSIVE MEASUREMENTS; COMPRESSIVE SENSING; CSML; LOCALIZATION; MANIFOLD LEARNING; NYQUIST SAMPLING THEOREM; WIRELESS SENSOR NETWORK (WSNS);

COMPRESSED SENSING;

EID: 77952856286     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PIMRC.2009.5449918     Document Type: Conference Paper

References (12)

1. I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, "A survey on sensor networks," IEEE Communication Magazine, vol. 40, no. 8, pp. 102-114, August 2002.
2. N. Patwari, J. N. Ash, and S. Kyperountas, "Locating the nodes: Cooperative localization in wireless sensor networks," IEEE Signal Processing Magazine, pp. 54-69, July 2005.
3. J. A. Costa, N. Patwari, and A. O. H. III, "Distributed weighted-multidimensional scaling for node localization in sensor networks," ACM Transactions on Sensor Networks, vol. 2, pp. 39-64, February 2006.
4. P. E. Green, F. J. Caromone, and S. M. Smith, "Multidimensional scaling: Concepts and applications," Newton, 1989.
5. J. B. Tenenbaum, V. Silva, and J. C. Langford, "A global geometric framework for nonlinear dimensionality reduction," Science, pp. 2319-2323, 2000.
6. A. Catovic and Z. Sahinoglu, "The cramer-rao bounds of hybrid toa/rss and tdoa/rss location estimation schemes," Technical Report, Mitsubishi Electric Research Lab, Janurary 2004.
7. N. Patwari and A. O. H. III, "Manifold learning algorithms for localization in wireless sensor networks," IEEE Signal Processing Magazine, pp. 54-69, July 2005.
8. V. Silva and J. B. Tenenbaum, Sparse Multidimensional Scaling using Landmark Points. Technical Report, Stanford, 2004.
9. X. Ji and H. Zha, "Sensor positioning in wireless ad-hoc sensor networks with multidimensional scaling," IEEE INFOCOM, pp. 2652-2661, 2004.
10. J. C. Emmanuel and B. W. Michael, "An introduction to compressive sampling," IEEE Signal Processing Magazine, pp. 21-30, March 2008.
11. R. G. Baraniuk, M. Davenport, R. Devore, and M. B. Wakin, "A simple proof of the restricted isomatry property for random matrices," Constructive Approximation, 2008.
12. S. S. Chen, D. L. Donoho, and M. A. Saunders, "Atomic decomposition by basis pursuit," SIAM Journal on Scientific Computing, pp. 33-61, 1998.