2010.4.12 koh choi networked media laboratory dept. of information & communications
DESCRIPTION
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 - PowerPoint PPT PresentationTRANSCRIPT
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 LaboratoryDept. of Information & Communications
Gwangju Institute of Science & Technology (GIST)
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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
Video Server Video Receiver
Coordinator
Multi-hop channel diversity
Coordinator operate control signal and receive network information
Which point support FEC operation?
Minimize packet loss Reduce complexity and overhead (from HbH FEC)
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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)
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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
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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)
Background traffic
Background traffic
Background traffic
Find optimal solution based on experimental approach
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Experiment scenario(2/3)
N1 N2 N3 N4 N5 N6
Background traffic
E2E-FEC
HbH-FEC HbH-FEC HbH-FEC HbH-FEC HbH-FEC
HbH-FEC
Single bottleneck link
N1 N2 N3 N4 N5 N6
Background traffic
E2E-FEC
HbH-FEC HbH-FEC HbH-FEC HbH-FEC HbH-FEC
HbH-FEC
Background trafficDiscontinuous bottleneck link
N1 N2 N3 N4 N5 N6
Background traffic
E2E-FEC
HbH-FEC HbH-FEC HbH-FEC HbH-FEC HbH-FEC
HbH-FEC
Continuous bottleneck link
Recovery ratio of lost packet loss, Transport delay.
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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)