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2010.4.12 Koh Choi Networked Media Laboratory Dept. of Information & Communications

Coordinated Real-time Monitoring based Network-Adaptive Hop-to-End FEC for Video Streaming over Multi-hop Wireless Networks. 2010.4.12 Koh Choi Networked Media Laboratory Dept. of Information & Communications Gwangju Institute of Science & Technology (GIST). Problem Space(1/2). Assumption

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2010.4.12 Koh Choi Networked Media Laboratory Dept. of Information & Communications

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  1. Coordinated Real-time Monitoring based Network-Adaptive Hop-to-End FEC for Video Streaming over Multi-hop Wireless Networks 2010.4.12 Koh Choi Networked Media Laboratory Dept. of Information & Communications Gwangju Institute of Science & Technology (GIST)

  2. Problem Space(1/2) • Assumption • Static Multi-hop Wireless Networks • Coordinator can monitor per-hop delay and packet loss • Exist delay-constraint for video streaming buffer • Available bandwidth can be measure in E2E path • Sending rate R does not exceed available bandwidth • RS Coding based packet-level FEC Minimize packet loss Reduce complexity and overhead (from HbH FEC)

  3. Problem Space(2/2) • Problems • Network-Adaptive Hop-to-End(NAHTE) FEC • How to apply NAHTE-FEC in practical environment? • We design analytical model to apply NAHTE-FEC in practical environment. But, analytical model does not provide enough practical model. How to solve this problem? • How to validate NAHTE-FEC in multi-hop wireless testbeds? • FEC enabled Video Streaming • Depend on network status in streaming path. How to detect network status? (we design coordinated real-time monitoring)

  4. Contribution point • Proposed CRM based NAHTE-FEC scheme for Video Streaming over Multi-hop Wireless Networks • Design and implement NAHTE(Network-Adaptive Hop-to-End)-FEC and CRM(Coordinated Real-time Monitoring). • Validate CRM based NAHTE-FEC through Experimental approach • Find experiment scenario of best performance It need many experiments in various experimental environments

  5. Experiment scenario(1/3) • Identify characteristic of built multi-hop wireless testbeds • Basic performance of video streaming with and without background • Packet loss rate, delay • FEC-enabled Video streaming in testbeds • Variable n (fixed k), hop count, packet loss (delay, recovery ratio) Find optimal solution based on experimental approach

  6. Experiment scenario(2/3) Recovery ratio of lost packet loss, Transport delay.

  7. Experiment scenario(3/3) • Validate NAHTE-FEC algorithm • Coordinator • Store FEC-enabled video streaming effect(variable n) • Packet loss and FEC recovery ratio (Practical case) • Adaptation policy • Conjugate analytical model • FEC operation point is fair? (we can control network status by using background traffic)

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