Video transmission over IEEE 802.11n WLAN with adaptive aggregation scheme

2010 ◽  
Author(s):  
Haifeng Zheng ◽  
Guotai Chen ◽  
Lun Yu
Keyword(s):  
Video Transmission ◽  
Ieee 802.11N ◽  
Adaptive Aggregation ◽  
Aggregation Scheme

Dynamic Aggregation Mechanism for Efficient Transmission of H.264/ SVC Video Over IEEE 802.11n WLANs

2019 ◽  
Vol 12 (2) ◽  
pp. 135-141
Author(s):  
Dharm Singh Jat ◽  
Lal Chand Bishnoi ◽  
Shoopala Nambahu
Keyword(s):  
Video Transmission ◽  
Quality Measurement ◽  
Local Area ◽  
Video Data ◽  
Network Simulator ◽  
Medium Access ◽  
Ieee 802.11N ◽  
Aggregation Mechanism ◽  
Digital Devices

Background: In just last two-years most of the world’s video data has been created by the digital devices like smartphone, surveillance cameras, and wireless sensor networks. These days the IEEE 802.11n enabled devices for Wireless Local Area Networks (WLANs) are being used to achieve higher throughput at the Medium Access Control (MAC) layer. </p><p> Methods: In this research, the Dynamic Aggregation Mechanism (DAM) algorithm is proposed for H.264/SVC video transmission over IEEE 802.11n WLANs. The modified Network Simulator (NS2) was used to examine the quality of received H.264/SVC video over 802.11n WLAN. For quality measurement, PSNR was used for all nine H.264/SVC video traffic. </p><p> Results: The proposed mechanism improved the PSNR for received video.

A Framework for Evaluation of Video Quality of Service in Wireless Networks

2017 ◽  
pp. 1-29
Author(s):  
Dharm Singh ◽  
Lal Chand Bishnoi
Keyword(s):  
Wireless Networks ◽  
Quality Of Service ◽  
Video Transmission ◽  
Video Quality ◽  
Measuring Technique ◽  
New Techniques ◽  
Ieee 802.11N ◽  
Transmission Quality ◽  
Video Transmission Quality

Today's IEEE 802.11n WLAN are capable of delivering the essential bandwidth for video by using MPEG-4 or H.264 codec compression. However, 802.11n devices are popular for delivering wireless video transmission. Even though there are some challenges for these devices specifically severe network congestion that degrade the quality of video transmission. For assessing the video transmission quality during a simulation on 802.11n WLAN technology, we extended a framework and toolset (802.11nMyEvalVid) which can be used to measures the QoS constraints in wireless networks, such as throughput, delays, and end-to-end delay. However, it also supports PSNR, which is a received video quality measuring technique based on a comparison of frame-by-frame. This chapter focused on a framework 802.11nMyEvalVid that can be used for research and evaluating new techniques for MAC-layer optimizations for simulating MPEG-4, H.264/AVC and H.264/SVC video over 802.11n WLAN in a more efficient and reliable way.

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