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Priority based Image Transmission Technique with DPCM in Wireless Multimedia

무선 멀티미디어 센서 네트워크에서 예측부호화를 통한 우선순위 기반 이미지 전송 기법

  • 이좌형 (강원대학교 컴퓨터정보통신공학과) ;
  • 정인범 (강원대학교 컴퓨터정보통신공학과)
  • Received : 2009.10.13
  • Accepted : 2009.12.11
  • Published : 2010.04.30

Abstract

With recent advances in hardware and wireless communication techniques, wireless multimedia sensor network which collects multimedia data through wireless sensor network has started to receive a lot of attentions from many researchers. Wireless multimedia sensor network requires a research of efficient compression and transmission to process the multimedia data which has large size, in the wireless sensor network that has very low network bandwidth. In this paper, we propose PIT protocol for the transmission based on the priority that classified by the DPCM compression. The PIT protocol sets different priority to the each subbands which are divided by the wavelet transform. The PIT protocol transmits the data with higher priority to guarantee the high image quality. The PIT protocol uses the characteristic of wavelet transform that the transformed image is very insensible to the data loss. In PIT protocol, each subbands of wavelet transformed image has fair weight in the compressed image to utilize the prioriy based transmission. The experiment results show that the PIT protocol improves the quality of image in spite of data loss.

최근 하드웨어와 무선 통신 기술의 발달로 무선 센서네트워크를 이용하여 멀티미디어 데이터를 수집하기 위한 무선 멀티미디어 센서네트워크에 관한 연구가 활발히 이루어지고 있다. 많은 데이터를 갖는 멀티미디어 데이터를 네트워크 대역폭이 극히 낮은 무선 센서 네트워크에서 처리하기 위해서는 네트워크 상태에 따른 효율적인 데이터 압축과 전송에 관한 연구가 필요하다. 본 논문에서는 무선 센서네트워크에서 대표적인 멀티미디어 데이터인 이미지 데이터를 예측부호화를 통해 압축된 이미지를 우선순위에 기반하여 전송하기 위한 이미지 전송 기법(Priority based Image Transmission Technique With Wavelet Transform)을 제안한다. 제안하는 PIT 기법은 이미지의 웨이블릿 변환을 통하여 나누어진 영역별로 서로 다른 우선순위를 설정한다. PIT기법은 패킷의 우선순위에 따라 전달 여부를 결정하도록 하여 중요한 데이터일수록 전송이 성공할 가능성을 높인다. PIT기법은 웨이블릿 변환의 특성상 데이터의 일부가 손실되더라도 최대한 전체적인 내용을 파악할 수 있는 장점을 활용한다. PIT에서는 연속적인 이미지 사이의 유사성을 고려한 저주파수 영역에서의 예측부호화(DPCM)을 통하여 이미지 데이터가 우선순위별로 균등하게 분포시킴으로써 화질열화를 최소화한다. 실험을 통하여 제안하는 기법이 데이터가 손실되더라도 높은 화질을 보장함을 보인다.

Keywords

References

  1. Naoto Kimura, and Shahram Latifi, "A Survey on Data Compression in Wireless Sensor Networks," In Proceedings of the International Conference on Information Technology: Coding and Computing, 2005.
  2. D. Petrovic, R. C. Shah, K. Ramchandran, and J. Rabaey, "Data Funneling: Routing with Aggregation and Compression for Wireless Sensor Networks," In Proceedings of First IEEE International Workshop on Sensor Network Protocols and Applications, May 2003.
  3. T. Arid, B. Gedik, Y. Altunbasak, and L. Liu, "PINCO: a Pipelined In-Network Compression Scheme for Data Collection in Wireless Sensor Networks," In Proceedings of 12th International Conference on Computer Communications and networks, October 2003.
  4. E. Magli, M. Mancin, and L Merello, "Low-Complexity Video Compression for Wireless Sensor Networks," In Proceedings of 2003 International Conference on Multimedia and Expo, July 2003.
  5. Mansour A. Aldajani, and Ali H. Sayed, "Adaptive Differential Pulse-Soded Modulation with Exponential Tracking," In Proceedings of International Conference on Image and Signal Processing and Analysis, September 2003.
  6. wavelet.org, http://www.wavelet.org/
  7. P. F. Panter and W. Dite, "Quantization distortion in pulse-count modulation with nonuniform spacing of levels," Proc. I.R.E., vol. 39, pp.44-48, 1951 https://doi.org/10.1109/JRPROC.1951.230419
  8. I. F. Akyildiz, T. Melodia, K. R. Chowdhury, "A survey on wireless multimedia sensor networks", Computer Networks, 51:921-960, 2007. https://doi.org/10.1016/j.comnet.2006.10.002
  9. S. Mishra, M. Reisslein, G. Xue, "A Survey of Multimedia Streaming in Wireless Sensor Networks", IEEE Communications Surveys and Tutorials, 2008.
  10. E. Gurses, O. B. Akan, "Multimedia Communication in Wireless Sensor Networks," Annals of Telecommunications, vol. 60, no. 7-8, pp. 799-827, July-August 2005.
  11. C.Y. Wan, A.T. Cambell, L. Krishnamurthy, "PSFQ: a reliable transport protocol for wireless sensor networks", Proceedings of the 1st ACM International Workshop on Wireless Sensor Networks and Applications, ACM Press, 2002, pp. 1-11.
  12. F. Stann, J. Heidemann, "RMST: reliable data transport in sensor networks", 1st IEEE International Workshop on Sensor Net Protocols and Applications(SNPA), Anchorage, Alaska, USA, 2003.
  13. P.G. Sherwood, K. Zerger, "Error protection for progressive image transmission over memoryless and fading channels", IEEE Transactions on Communications 46(12)(1998) 1555-1559. https://doi.org/10.1109/26.737389
  14. A. Mohr, E. Riskin, R. Ladner, "Unequal loss protection: graceful degradation of image quality over packet erasure channel through forward error correction", IEEE Journal on Selected Areas in Communications 18(6)(2000) 819-828. https://doi.org/10.1109/49.848236
  15. K. W. Lee, R. Puri, T. Kim, K. Ramchandran, V. Bhargh-avan, "An integrated source and congestion control frame-work video streaming in the Internet", Proceedings on Infocom, Tel-Aviv, Israel, 2000.
  16. H. Wu, A. A. Abouzeid, "Error Robust Image Transport in Wireless Sensor Networks", Proceeding of 5th workshop on Applications and Services in Wireless Networks(ASWN 2005)
  17. H. Wu, A. A. Abouzeid, "Error resilient image transport in wireless sensor networks", Computer Networks, 50 2873-2887, 2007.
  18. V. Lecuire, C. Duran-Faundez, N. Krommenacker, "Energy-Efficient Transmission of Wavelet-Based Images in Wireless Sensor Networks," EURASIP Journal on Image and Video Processing, vol. 2007, Article ID 47345, 11 pages, 2007.
  19. S. Shakkottai, T. S. Rappaport, C. Karlsson, "Cross-layer Design for Wireless Networks", IEEE Communications manazine, October, 2003
  20. Comer, Douglas E. "Internetworking with TCP/IP, Volume 1: Principles, Protocols, and Architecture", Prentice Hall, 1995. ISBN 0132169878
  21. Peterson, Larry L. & Davie, Bruce S. "Computer Networks: A Systems Approach", Morgan Kaufmann, 2000
  22. S. Doley, A. Keizelman, "Non-Preemptive Real-Time Scheduling of Multimedia Tasks", Real-Time Systems, vol. 17, Issue 1, 1999
  23. A. Woo, T. Tong, D. Culler. "Taming the underlying challenges of reliable multihop routing in sensor networks." In Proceedings of the first international conference on Embedded networked sensor systems, pages 14-27. ACM Press, 2003.
  24. Y. Sankarasubramaniam, O. B. Akan, I. F. Akyildiz, "ESRT: Event-to-Sink Reliable Transport in Wireless Sensor Networks," in Proc. ACM MOBIHOC 2003, pp. 177-188, Annapolis, Maryland, USA, June 2003
  25. V. Lecuire, C. Duran-Faundez, and N. Krommenacker, "Energy-Efficient Transmission of Wavelet-Based Images in Wireless Sensor Networks," EURASIP Journal on Image and Video Processing, vol. 2007

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