Project Description:
Driven by the advancement in data compression technology and increasing demand, video streaming has become one of the main services people use with the Internet. With the wide adoption of WiFi (802.11n), it is vital to analyze the performance of video streaming under different scenarios. The project will simulate video streaming with traced data on a target station in Riverbed Modeler and analyze the performance of the target station over WiFi connection under different scenarios.
References:
[1] A. Ligata, E. Perenda and H. Gacanin, "Quality of Experience Inference for Video Services in Home WiFi Networks," in IEEE Communications Magazine, vol. 56, no. 3, pp. 187-193, March 2018.[Online].
Available: https://ieeexplore-ieee-org.proxy.lib.sfu.ca/document/8316791. [Accessed: 02-Mar-2020].
[2] J. Loughran, “Streaming services on the rise as traditional TV viewership continues to fall,” The Institution of Engineering and Technology, 07-Aug-2019. [Online]. Available: https://eandt.theiet.org/content/articles/2019/08/streaming-services-on-the-rise-as-traditional-tv-viewership-continues-to-fall/ . [Accessed: 05-Mar-2020].
[3] X. Zhu and B. Girod, "Video streaming over wireless networks," 2007 15th European Signal Processing Conference, Poznan, 2007, pp. 1462-1466.[Online]. Available: https://ieeexplore-ieee-org.proxy.lib.sfu.ca/document/7099048. [Accessed: 02-Mar-2020].
[4] L. Gao, M. Tang, H. Pang, J. Huang and L. Sun, "Multi-User Cooperative Mobile Video Streaming: Performance Analysis and Online Mechanism Design," in IEEE Transactions on Mobile Computing, vol. 18, no. 2, pp. 376-389, 1 Feb. 2019.
[5]N.Michael, W.Ching, “Video Streaming over WiFi using Riverbed Modeler”, ENSC 427 Spring 2016 Group 1 .
[Online].Available:http://www.sfu.ca/~ljilja/ENSC427/Spring16/Projects/team1/ENSC427_team1_report.pdf [Accessed: 02-Mar-2020].