Enhancing the Performance of Video Streaming in Wireless Mesh Networks

  • Authors:
  • Xiaoling Qiu;Haiping Liu;Dipak Ghosal;Biswanath Mukherjee;John Benko;Wei Li;Rashmi Bajaj

  • Affiliations:
  • Computer Science Department, University of California, Davis, USA 95616;Department of Electrical and Computer Engineering, University of California, Davis, USA 95616;Computer Science Department, University of California, Davis, USA 95616;Computer Science Department, University of California, Davis, USA 95616;France Telecom Research Lab, South San Francisco, USA 94080;School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand 6140;France Telecom Research Lab, South San Francisco, USA 94080

  • Venue:
  • Wireless Personal Communications: An International Journal
  • Year:
  • 2011

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Abstract

Multihop wireless mesh networks (WMNs) provide ubiquitous wireless access in a large area with less dependence on wired networks. However, some emerging applications with high bandwidth requirement and delay and loss constraints, such as video streaming, suffer poor performance in WMNs, since high compression rates and/or high packet loss rates deteriorate the video quality. In this paper, we propose a novel mechanism composed of (1) a network route selection scheme which provides paths for multiple video streams with the least interference, called Minimum Interference Route Selection (MIROSE) and (2) an optimization algorithm that determines the compression rates depending on the network condition, called Network State Dependent Video Compression Rate (NSDVCR) algorithm. Simulation results of the proposed mechanisms show the significant improvement of the video quality measured with a popular metric, Peak-Signal-to-Noise Ratio (PSNR), compared with standard routing and default compression rates.