Transmission control for compressive sensing video over wireless channel

IEEE Transactions on Wireless Communications

Volumn 12, Issue 3, 2013, Pages 1429-1437

  Xiang, Siyuan ^a   Cai, Lin ^a  

^a UNIVERSITY OF VICTORIA   (Canada)

Author keywords

Compressive sensing video; rate distortion; stochastic optimization; video transmission

Indexed keywords

COMPRESSIVE SENSING; PERCEIVED VIDEO QUALITY; RATE DISTORTIONS; STOCHASTIC OPTIMIZATION PROBLEMS; STOCHASTIC OPTIMIZATIONS; TEMPERATURE AND HUMIDITY SENSOR; VIDEO OVER WIRELESS CHANNELS; VIDEO TRANSMISSIONS;

ALGORITHMS; ENERGY EFFICIENCY; IMAGE CODING; IMAGE COMMUNICATION SYSTEMS; OPTIMIZATION; SENSOR NODES; STOCHASTIC SYSTEMS;

SIGNAL RECONSTRUCTION;

EID: 84875633078     PISSN: 15361276     EISSN: None     Source Type: Journal    
DOI: 10.1109/TWC.2013.012313.121150     Document Type: Article

References (19)

1. M. F. Duarte, M. A. Davenport, D. Takhar, J. N. Laska, T. Sun, K. F. Kelly, and R. G. Baraniuk, "Single-pixel imaging via compressive sampling," IEEE Signal Process. Mag., vol. 25, no. 2, pp. 83-91, Mar. 2008.
2. D. L. Donoho, "Compressed sensing," IEEE Trans. Inf. Theory, vol. 52, no. 4, pp. 1289-1306, Apr. 2006.
3. E. J. Candes and T. Tao, "Near-optimal signal recovery from random projections: universal encoding strategies?" IEEE Trans. Inf. Theory, vol. 52, no. 12, pp. 5406-5425, Dec. 2006. (Pubitemid 46445381)
4. J. Xu, X. Shen, J. W. Mark, and J. Cai, "Adaptive transmission of multilayered video over wireless fading channels," IEEE Trans. Wireless Commun., vol. 6, no. 6, pp. 2305-2314, June 2007. (Pubitemid 47234283)
5. J. Zhang, J. Chen, and Y. Sun, "Transmission power adjustment of wireless sensor networks using fuzzy control algorithm," Wireless Commun. and Mobile Comput., vol. 9, no. 6, pp. 805-818, 2009.
6. R. Zhang, R. Ruby, J. Pan, L. Cai, and X. Shen, "A hybrid reservation/contention-based MAC for video streaming over wireless networks," IEEE J. Sel. Areas Commun., vol. 28, no. 3, pp. 389-398, Apr. 2010.
7. L. Cai, S. Xiang, Y. Luo, and J. Pan, "Scalable modulation for video transmission in wireless networks," IEEE Trans. Veh. Technol., vol. 60, no. 9, pp. 4314-4323, Nov. 2011.
8. S. Xiang, L. Cai, and J. Pan, "Adaptive scalable video streaming in wireless networks," in Proc. 2012 ACM MMSys, pp. 167-172.
9. A. Abdulla, H. Nishiyama, J. Yang, N. Ansari, and N. Kato, "Hymn: a novel hybrid multi-hop routing algorithm to improve the longevity of WSNs," IEEE Trans. Wireless Commun., vol. 11, no. 7, pp. 2531-2541, Jul. 2012.
10. Z. Charbiwala, S. Chakraborty, S. Zahedi, Y. Kim, M. B. Srivastava, T. He, and C. Bisdikian, "Compressive oversampling for robust data transmission in sensor networks," in 2010 IEEE INFOCOM.
11. J. N. Laska, P. Boufounos, M. A. Davenport, and R. G. Baraniuk, "Democracy in action: quantization, saturation, and compressive sensing," preprint, 2009.
12. S. Pudlewski, A. Prasanna, and T. Melodia, "Compressed- sensingenabled video streaming for wireless multimedia sensor networks," IEEE Trans. Mobile Comput., vol. 11, no. 6, pp. 1060-1072, June 2012.
13. K. Stuhlmuller, N. Farber, M. Link, and B. Girod, "Analysis of video transmission over lossy channels," IEEE J. Sel. Areas Commun., vol. 18, no. 6, pp. 1012-1032, 2000.
14. M. J. Neely and A. Sharma, "Dynamic data compression with distortion constraints for wireless transmission over a fading channel," Arxiv preprint arXiv:0807.3768, 2008.
15. H. Everett III, "Generalized Lagrange multiplier method for solving problems of optimum allocation of resources," Operations Research, pp. 399-417, 1963.
16. G. J. Sullivan and T. Wiegand, "Rate-distortion optimization for video compression," IEEE Signal Process. Mag., vol. 15, no. 6, pp. 74-90, Nov. 1998.
17. M. J. Neely, "Stochastic network optimization with application to communication and queueing systems," Synthesis Lectures on Commun. Networks, vol. 3, no. 1, pp. 1-211, 2010.
18. S. Xiang and L. Cai, "Scalable video coding with compressive sensing for wireless videocast," in 2011 IEEE ICC.
19. T. Do, T. Tran, and L. Gan, "Fast compressive sampling with structurally random matrices," in Proc. 2008 IEEE ICASSP, pp. 3369-3372.