Ad Hoc Network Video Transmission Based on Hybrid Flow Congestion Control

CHEN Liang; GU Xiang

doi:10.13976/j.cnki.xk.2015.0135

Volume 44 Issue 2

Apr. 2015

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INFORMATION AND CONTROL > 2015 > 44(2): 135-141. > DOI: 10.13976/j.cnki.xk.2015.0135 CSTR: 32166.14.xk.2015.0135

CHEN Liang, GU Xiang. Ad Hoc Network Video Transmission Based on Hybrid Flow Congestion Control[J]. INFORMATION AND CONTROL, 2015, 44(2): 135-141. DOI: 10.13976/j.cnki.xk.2015.0135

Citation:

CHEN Liang, GU Xiang. Ad Hoc Network Video Transmission Based on Hybrid Flow Congestion Control[J]. INFORMATION AND CONTROL, 2015, 44(2): 135-141. DOI: 10.13976/j.cnki.xk.2015.0135

Citation:

CHEN Liang, GU Xiang. Ad Hoc Network Video Transmission Based on Hybrid Flow Congestion Control[J]. INFORMATION AND CONTROL, 2015, 44(2): 135-141. DOI: 10.13976/j.cnki.xk.2015.0135

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Ad Hoc Network Video Transmission Based on Hybrid Flow Congestion Control

CHEN Liang^,,
GU Xiang

School of Computer Science and Technology, Nantong University, Nantong 226019, China

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Received Date: April 23, 2014
Revised Date: November 19, 2014
Published Date: April 19, 2015

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Abstract

Abstract

An active queue management (AQM) algorithm, based on TCP feedback, will drop UDP packets indistinguishably, leading to a dropin UDP video quality. Congestion window-size, drop probability, and the differential equations of the hybrid flow queue length are deduced based on TCP/UDP transmission characteristicsand hybrid flow queuing mechanisms. An Ad Hoc network hybrid flow AQM control model is obtained through the linearization of these equations. A PI-V AQM algorithm is proposed, which reduces the drop-rate of UDPs. This algorithm dynamically modifies the drop probability for UDP video stream, adjusting to video frame weight and packet length as the transmission quality changes. NS (network simulator) simulations demonstrate that this PI-V algorithm's performance is better than that of the PI and drop-tail algorithms. The to-be-discussed PI-V AQM algorithm improves video transmission quality by 0.82 dB-2.22 dB, as determined from the peak signal-to-noise ratio.
- Ad Hoc network,
- congestion control,
- active queue management (AQM),
- video stream,
- quality of service

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