Tree-based energy-efficient data gathering in wireless sensor networks deploying compressive sensing

2014 23rd Wireless and Optical Communication Conference, WOCC 2014

Volumn , Issue , 2014, Pages

  Nguyen, Minh Tuan ^a   Teague, Keith A ^b  

^a Oklahoma State University   (United States)

^b Thai Nguyen University of Technology   (Viet Nam)

Author keywords

compressive sensing; data collection; routing method; Wireless sensor networks

Indexed keywords

DATA ACQUISITION; MATRIX ALGEBRA; OPTICAL COMMUNICATION; SENSORS; SIGNAL RECONSTRUCTION; TREES (MATHEMATICS); WIRELESS SENSOR NETWORKS;

COMPRESSIVE SENSING; DATA COLLECTION; NUMBER OF TRANSMISSIONS; PROJECTION MATRIX; RECOVERY ALGORITHMS; ROUTING METHODS; TRANSMISSION RANGES; WIRELESS SENSOR NETWORK (WSNS);

SENSOR NODES;

EID: 84904159180     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WOCC.2014.6839920     Document Type: Conference Paper

References (18)

1. D.L.Donoho, "Compressed sensing," Information Theory, IEEE Transactions on, vol. 52, pp. 1289-1306, 2006.
2. E. Candes, J. Romberg, and T. Tao, "Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information," Information Theory, IEEE Transactions on, vol. 52, pp. 489-509, Feb. 2006.
3. E. Candes and M. Wakin, "An introduction to compressive sampling," Signal Processing Magazine, IEEE, vol. 25, no. 2, pp. 21-30, 2008.
4. J. Haupt, W. Bajwa, M. Rabbat, and R. Nowak, "Compressed sensing for networked data," Signal Processing Magazine, IEEE, vol. 25, no. 2, pp. 92-101, 2008.
5. C. Luo, F. Wu, J. Sun, and C. W. Chen, "Efficient measurement generation and pervasive sparsity for compressive data gathering," 2010.
6. J. Luo, L. Xiang, and C. Rosenberg, "Does compressed sensing improve the throughput of wireless sensor networks?," in Communications (ICC), 2010 IEEE International Conference on, pp. 1-6, 2010.
7. R. Xie and X. Jia, "Minimum transmission data gathering trees for compressive sensing in wireless sensor networks," in Global Telecommunications Conference (GLOBECOM 2011), 2011 IEEE, pp. 1-5, 2011.
8. R. Berinde and P. Indyk, "Sparse recovery using sparse random matrices," 2008.
9. J. M. Steele, "Minimal spanning trees for graphs with random edge lengths," in Mathematics and computer science, II (Versailles, 2002), Trends Math., pp. 223-245, Basel: Birkhäuser, 2002.
10. R. Bellman, "On a routing problem," Quart. Appl. Math., vol. 16, pp. 87-90, 1958.
11. N. Rahnavard, A. Talari, and B. Shahrasbi, "Non-uniform compressive sensing," in Communication, Control, and Computing (Allerton), 2011 49th Annual Allerton Conference on, pp. 212 -219, Sept. 2011.
12. R. Baraniuk, "Compressive sensing [lecture notes]," Signal Processing Magazine, IEEE, vol. 24, pp. 118 -121, July 2007.
13. W. Wang, "Distributed sparse random projections for refinable approximation," in In IEEE/ACM Int. Symposium on Information Processing in Sensor Networks (IPSN, 2007.
14. M. Nguyen and Q. Cheng, "Efficient data routing for fusion in wireless sensor networks," in The 25th International Conference on Computer Applications in Industry and Engineering (CAINE), New Orleans, LA, 2012, Nov 2012.
15. M. T. Nguyen, "Minimizing energy consumption in random walk routing for wireless sensor networks utilizing compressed sensing," in 2013 8th International Conference on System of Systems Engineering (SoSE 2013), (Maui, Hawaii, USA), pp. 291-295, June 2013.
16. M. T. Nguyen and N. Rahnavard, "Cluster-Based Energy-Efficient data collection in wireless sensor networks utilizing compressive sensing," in 2013 - MILCOM 2013 Track 2) Networking Protocols and Performance (MILCOM 2013 Track 2), (San Diego, USA), Nov. 2013.
17. T. S. Rappaport, Wireless Communications: Principles and Practice (2nd Edition). Prentice Hall, 2 ed., Jan. 2002.
18. http://lcav.epfl.ch/op/edit/sensorscope en.