Inter-cluster multi-hop routing in wireless sensor networks employing compressive sensing

Proceedings - IEEE Military Communications Conference MILCOM

Volumn , Issue , 2014, Pages 1133-1138

  Nguyen, Minh Tuan ^a,b   Teague, Keith A ^a   Rahnavard, Nazanin ^a,c  

^a Oklahoma State University   (United States)

^b Thai Nguyen University of Technology   (Viet Nam)

^c UNIVERSITY OF CENTRAL FLORIDA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BASE STATIONS; COMPRESSED SENSING; ELECTRIC POWER UTILIZATION; MILITARY COMMUNICATIONS; TREES (MATHEMATICS);

CLUSTER-BASED; COMPRESSIVE SENSING; GREEDY ALGORITHMS; INTER CLUSTERS; MULTI-HOP ROUTING; NETWORK CHARACTERISTICS; ROUTING TREES; TOTAL POWER CONSUMPTION;

WIRELESS SENSOR NETWORKS;

EID: 84912557354     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MILCOM.2014.191     Document Type: Conference Paper

References (24)

1. M. T. Nguyen and N. Rahnavard, "Cluster-based energy-efficient data collection in wireless sensor networks utilizing compressive sensing," in Military Communications Conference, MILCOM 2013-2013 IEEE, pp. 1708-1713, Nov 2013.
2. H. L. Yap, A. Eftekhari, M. Wakin, and C. Rozell, "The restricted isometry property for block diagonal matrices," in Information Sciences and Systems (CISS), 2011 45th Annual Conference on, pp. 1-6, March 2011.
3. D. L. Donoho, "Compressed sensing," Information Theory, IEEE Transactions on, vol. 52, pp. 1289-1306, 2006.
4. 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.
5. R. Baraniuk, "Compressive sensing [lecture notes]," Signal Processing Magazine, IEEE, vol. 24, pp. 118-121, July 2007.
6. R. Berinde and P. Indyk, "Sparse recovery using sparse random matrices," 2008.
7. J. B. MacQueen, "Some methods for classification and analysis of multivariate observations," in Proc. of the fifth Berkeley Symposium on Mathematical Statistics and Probability (L. M. L. Cam and J. Neyman, eds. ), vol. 1, pp. 281-297, University of California Press, 1967.
8. M. Handy, M. Haase, and D. Timmermann, "Low energy adaptive clustering hierarchy with deterministic cluster-head selection," in Mobile and Wireless Communications Network, 2002. 4th International Workshop on, pp. 368-372, 2002.
9. A. A. Abbasi and M. Younis, "A survey on clustering algorithms for wireless sensor networks," Computer Communications, vol. 30, no. 1415, pp. 2826-2841, 2007.
10. R. Xu and I. Wunsch, D., "Survey of clustering algorithms," Neural Networks, IEEE Transactions on, vol. 16, pp. 645-678, May 2005.
11. S. Bandyopadhyay and E. Coyle, "An energy efficient hierarchical clustering algorithm for wireless sensor networks," in INFOCOM 2003. Twenty-Second Annual Joint Conference of the IEEE Computer and Communications. IEEE Societies, vol. 3, pp. 1713-1723 vol. 3, March-3 April 2003.
12. S. Heikalabad, N. Firouz, A. Navin, and M. Mirnia, "Heech: Hybrid energy effective clustering hierarchical protocol for lifetime prolonging in wireless sensor networks," in Computational Intelligence and Communication Networks (CICN), 2010 International Conference on, pp. 325-328, Nov. 2010.
13. C. Luo, F. Wu, J. Sun, and C. W. Chen, "Efficient measurement generation and pervasive sparsity for compressive data gathering," Wireless Communications, IEEE Transactions on, vol. 9, pp. 3728-3738, December 2010.
14. 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, Dec.
15. M. T. Nguyen and K. Teague, "Tree-based energy-efficient data gathering in wireless sensor networks deploying compressive sensing," in Wireless and Optical Communication Conference (WOCC), 2014 23rd, pp. 1-6, May 2014.
16. 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.
17. M. T. Nguyen, "Minimizing energy consumption in random walk routing for wireless sensor networks utilizing compressed sensing," in System of Systems Engineering (SoSE), 2013 8th International Conference on, pp. 297-301, June 2013.
18. M. T. Nguyen and K. A. Teague, "Compressive sensing based Energy-Efficient random routing in wireless sensor networks," in The International Conference on Advanced Technologies for Communications 2014 (ATC'14), (Hanoi, Vietnam), Oct. 2014.
19. M. T. Nguyen and K. A. Teague, "Neighborhood based data collection in WSNs employing compressive sensing," in The International Conference on Advanced Technologies for Communications 2014 (ATC'14), (Hanoi, Vietnam), Oct. 2014.
20. S. Lee and A. Ortega, "Joint optimization of transport cost and reconstruction for spatially-localized compressed sensing in multi-hop sensor networks," Asia Pacific Signal and Info. Proc. Assoc. Summit (APSIPA). Singapore, 2010.
21. M. T. Nguyen and K. Teague, "Compressive sensing based data gathering in clustered wireless sensor networks," in Distributed Computing in Sensor Systems (DCOSS), 2014 IEEE International Conference on, pp. 187-192, May 2014.
22. W. Heinzelman, A. Chandrakasan, and H. Balakrishnan, "An application-specific protocol architecture for wireless microsensor networks," Wireless Communications, IEEE Transactions on, vol. 1, pp. 660-670, Oct 2002.
23. S. Chandler, "Calculation of number of relay hops required in randomly located radio network," Electronics Letters, vol. 25, no. 24, pp. 1669-1671, 1989.
24. http://lcav. epfl. ch/op/edit/sensorscope en.