Journal of the Korea Society for Simulation (한국시뮬레이션학회논문지)

The Korea Society for Simulation (한국시뮬레이션학회)
권호 표지
DOI QR코드

DOI QR Code

Cross-layer Simulation and Analysis for Video Transmission Quality in MANET

MANET에서 비디오 전송 품질을 위한 Cross-layer 시뮬레이션과 분석

  • Received : 2015.09.10
  • Accepted : 2015.09.15
  • Published : 2015.09.30
Download PDF
⟨ Previous Next ⟩

Abstract

Mobile ad hoc networks (MANETs) are self-organized dynamic networks populated by mobile nodes. This paper presents the improved cross-layer approach to complement the recent works for video transmission services on MANET. We use a statistical design of experiment and analysis in order to investigate interactions between major factors of each layer effectively with minimizing ns-3 simulation run time. The proposed cross-layer approach considers MANET protocol layers (i.e., physical, network and transmission layers) and an application layer (i.e., a video encoder) as factors simultaneously. In addition, the approach defines an objective video quality metric as a response variable. The result of this paper can be applicable as a preliminary research to design an optimized video transmission application which has ability to adjust controllable factors to dynamic uncontrollable factors.

MANET(Mobile ad hoc networks)은 이동 단말로 구성된 동적인 자가 생성 네트워크를 의미한다. 본 연구에서는 MANET에서 비디오 전송 서비스를 다루고 있는 최근 연구를 보완하기 위한 개선된 cross-layer 접근 방법을 제시하고 있다. 본 연구는 ns-3 시뮬레이션을 통해 수행되며, 시뮬레이션에 소요되는 시간을 감안하여 효율적으로 각 계층의 주요 인자의 상호작용을 동시에 고려하기 위해 통계적 실험계획법을 활용하고자 한다. 제안된 cross-layer 접근 방법은 MANET 프로토콜 계층(물리, 네트워크, 전송 계층)과 응용 계층(비디오 인코더)를 동시에 인자로 다루고 있고, 반응 변수로는 객관적 비디오 품질 지표를 포함한다. 본 연구의 결과는 통제 불가능한 인자의 값에 따라 통제 가능한 인자를 설정하여 최적의 비디오 품질을 제공하는 MANET 비디오 전송 어플리케이션을 설계하는 기초 연구로써 활용될 수 있다.

Keywords

References

  1. I. Chlamtac, M. Conti, and J. J. N. Liu (2003), "Mobile ad hoc networking: imperatives and challenges," Ad Hoc Networks, Vol. 1, No. 1, pp. 13-64. https://doi.org/10.1016/S1570-8705(03)00013-1
  2. E. Setton, T. Yoo, X. Zhu, A. Goldsmith, and B. Girod (2005), "Cross-layer design of ad hoc networks for real-time video streaming," IEEE Transactions on Wireless Communications, Vol. 12, No. 4, pp. 59-65. https://doi.org/10.1109/MWC.2005.1497859
  3. S. Mantzouratos, G. Gardikis, H. Koumaras, and A. Kourtis (2012), "Survey of cross-layer proposals for video streaming over mobile ad hoc networks (MANETs)," 2012 International Conference on Telecommunications and Multimedia (TEMU), pp. 101-106.
  4. O. Ben Rhaiem and L. Chaari Fourati (2013), "Routing protocols performance analysis for scalable video coding (SVC) transmission over mobile ad-hoc networks," 2013 IEEE International Conference on Signal and Image Processing Applications (ICSIPA), pp. 197-202.
  5. M. O. Martinez Rach, O. Lopez, P. P. Nol, M. P. Malumbres, J. Oliver, and C. T. Calafate (2007), "Quality assessment metrics vs. PSNR under packet loss scenarios in manet wireless networks," International workshop on Workshop on mobile video, pp. 31-36.
  6. G. Riley and T. Henderson (2010), "The ns-3 network simulator," in Modeling and Tools for Network Simulation, K. Wehrle, M. Gunes, and J. Gross, Eds. Berlin, Heidelberg: Springer Berlin Heidelberg, ch. 2, pp. 15-34.
  7. Multimedia Signal Processing Group, VQMT (Video Quality Measurement Tool). http://mmspg.epfl.ch/vqmt.
  8. Z. Wang, A.C. Bovik, H.R. Sheikh, and E.P. Simoncelli (2004), "Image quality assessment: from error visibility to structural similarity," IEEE Transactions on Image Processing, Vol. 13, No. 4, pp. 600-612. https://doi.org/10.1109/TIP.2003.819861
  9. H. R. Sheikh and A. C. Bovik (2006), "Image information and visual quality," IEEE Transactions on Image Processing, Vol. 15, No. 2, pp. 430-444. https://doi.org/10.1109/TIP.2005.859378
  10. R Core Team (2013). R: A language and environment for statistical computing. R Foundation for Statistical Computing. http://www.R-project.org.