Classification-based relay selection for video streaming over wireless multihop networks

Authors:
Mei-Hsuan Lu;Yu-Hsiang Bosco Chiu;Tsuhan Chen
Affiliations:
Department of Electrical and Computer Engineering, Carnegie Mellon University;Department of Electrical and Computer Engineering, Carnegie Mellon University;Department of Electrical and Computer Engineering, Carnegie Mellon University
Venue:
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Year:
2009

Citing 4
Cited 0

Wireless Communications: Principles and Practice

Wireless Communications: Principles and Practice
A high-throughput path metric for multi-hop wireless routing

Proceedings of the 9th annual international conference on Mobile computing and networking
ExOR: opportunistic multi-hop routing for wireless networks

Proceedings of the 2005 conference on Applications, technologies, architectures, and protocols for computer communications
Pattern Recognition and Machine Learning (Information Science and Statistics)

Pattern Recognition and Machine Learning (Information Science and Statistics)

Quantified Score

Hi-index	0.00

Visualization

Abstract

Real-time streaming of audiovisual content over wireless networks is emerging as an important technology in multimedia communication. In this paper, we present a classification-based method to select appropriate relays in support of our prior work on Time-aware Opportunistic Relaying for video streaming over wireless mesh networks. The proposed scheme works as follows: each candidate relay runs a Support Vector Machine (SVM) to decide whether it should participate in forwarding packets for a source-destination pair or not. The SVM considers features that are sensitive to video quality and is trained with an aim to maximize user perceived quality. Our evaluation results show that the classification-based approach outperforms the baseline scheme.