Factorial Design Analysis for Quality of Video on MANET
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33093
Factorial Design Analysis for Quality of Video on MANET

Authors: Hyoup-Sang Yoon

Abstract:

The quality of video transmitted by mobile ad hoc networks (MANETs) can be influenced by several factors, including protocol layers; parameter settings of each protocol. In this paper, we are concerned with understanding the functional relationship between these influential factors and objective video quality in MANETs. We illustrate a systematic statistical design of experiments (DOE) strategy can be used to analyze MANET parameters and performance. Using a 2k factorial design, we quantify the main and interactive effects of 7 factors on a response metric (i.e., mean opinion score (MOS) calculated by PSNR with Evalvid package) we then develop a first-order linear regression model between the influential factors and the performance metric.

Keywords: Evalvid, full factorial design, mobile ad hoc networks, ns-2.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1091372

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2086

References:


[1] I. Chlamtac, M. Conti, and J. J. N. Liu, "Mobile Ad Hoc Networking: Imperatives and Challenges,” Ad Hoc Networks, vol. 1, no. 1, pp.13–64, Jul. 2003. (Online). Available: http://dx.doi.org/10.1016/ s1570-8705(03)00013-1
[2] E. Setton, T. Yoo, X. Zhu, A. Goldsmith, and B. Girod, "Cross-Layer Design of Ad Hoc Networks for Real-Time Video Streaming,” Wireless Communications, IEEE, vol. 12, no. 4, pp. 59–65, Aug. 2005. (Online).Available: http://dx.doi.org/10.1109/mwc.2005.1497859
[3] M. Conti, G. Maselli, G. Turi, and S. Giordano, "Cross Layering in Mobile Ad Hoc Network Design,” Computer, vol. 37, no. 2, pp. 48–51, Aug. 2004. (Online). Available: http://dx.doi.org/10.1109 /mc.2004.1266295.
[4] K. K. Vadde and V. R. Syrotiuk, "Factor Interaction on Service Delivery in Mobile Ad Hoc Networks,” Selected Areas in Communications, IEEE Journal on, vol. 22, no. 7, pp. 1335–1346, Aug. 2004. (Online).Available: http://dx.doi.org/10.1109/jsac.2004.829351.
[5] K. K. Vadde, V. R. Syrotiuk, and D. C. Montgomery, "Optimizing Protocol Interaction Using Response Surface Methodology,” IEEE Transactions on Mobile Computing, vol. 5, no. 6, pp. 627–639, 2006. (Online). Available: http://dx.doi.org/10.1109/tmc.2006.82.
[6] Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, "Imagequality Assessment: From Error Visibility to Structural Similarity,” Image Processing, IEEE Transactions on, vol. 13, no. 4, pp. 600–612, Apr.2004. (Online). Available: http://dx.doi.org/10.1109 /tip.2003.819861
[7] Z. Wang, E. P. Simoncelli, and A. C. Bovik, "Multiscale Structural Similarity for Image Quality Assessment,” in Signals, Systems and Computers, 2004. Conference Record of the Thirty-Seventh Asilomar Conference on, vol. 2. IEEE, Nov. 2003, pp. 1398–1402. (Online). Available: http://dx.doi.org/10.1109/acssc.2003.1292216
[8] J. Klaue, B. Rathke, and A. Wolisz, "EvalVid – A Framework for Video Transmission and Quality Evaluation,” in Computer Performance Evaluation. Modelling Techniques and Tools, ser. Lecture Notes in Computer Science, P. Kemper and W. Sanders, Eds. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003, vol. 2794, ch. 16, pp. 255–272. (Online). Available: http://dx.doi.org/10.1007 /978-3-540-45232-4 16