scholarly journals A Cross-Layer Framework for Efficient Streaming of H.264 Video over IEEE 802.11 Networks

2009 ◽  
Vol 2009 ◽  
pp. 1-13 ◽  
Author(s):  
Azfar Moid ◽  
Abraham O. Fapojuwo
Keyword(s):  
Wireless Network ◽  
Ieee 802.11 ◽  
Video Transmission ◽  
Processing Time ◽  
Video Quality ◽  
Cross Layer ◽  
Packet Processing ◽  
Network Parameter ◽  
Transmission Parameters ◽  
Buffer Length

This paper presents a framework for reliable and efficient streaming of H.264 video over an IEEE 802.11-based wireless network. The framework relies on a cross-layer mechanism that jointly adapts the video transcoding parameters at the application layer and the video transmission parameters at the data-link layer to the network conditions defined by buffer length and wireless propagation channel. The effectiveness of the proposed framework is demonstrated through the transmission of three test video sequences (Akiyo, Container, andForeman) having different degrees of motion over an IEEE802.11 wireless network. Simulation results show that the proposed cross-layer-based framework provides an enhancement of up to 3 dB in the video quality with a negligible increase (<5%) in the packet processing time. Hence, the proposed framework achieves a good balance in the tradeoff between video quality and packet processing time. The proposed framework, along with its performance results, provides valuable insights on the selection of network parameter values for efficient and reliable transmission of video applications in wireless networks.

Cross-layer architecture for scalable video transmission in wireless network

2007 ◽  
Vol 22 (3) ◽  
pp. 317-330 ◽  
Author(s):  
J. Huusko ◽  
J. Vehkaperä ◽  
P. Amon ◽  
C. Lamy-Bergot ◽  
G. Panza ◽  
...  
Keyword(s):  
Wireless Network ◽  
Video Transmission ◽  
Scalable Video ◽  
Cross Layer

scholarly journals A Cross Video-MAC Layer Approach for Generating Adaptive FMO Map

1970 ◽  
Vol 6 (1) ◽  
pp. 58-63
Author(s):  
Tien Huu Vu ◽  
Supavadee Aramvith
Keyword(s):  
Video Transmission ◽  
Video Quality ◽  
Arrival Rate ◽  
Ieee 802.11E ◽  
Cross Layer ◽  
Cross Layer Design ◽  
Mac Layer ◽  
Medium Access ◽  
Error Resiliency ◽  
Map Generation

Recent researches in video transmission over heterogeneous networks move toward cross-layer design to realize the optimal video quality. In this work, we investigate the cross layer approach between H.264 video coding layer and IEEE 802.11e Medium Access Control (MAC) layer on the issues of how to improve error resiliency of H.264 video using Flexible Macroblock Ordering (FMO), and how to reduce packet dropping rate at MAC layer. We propose an adaptive FMO map generation to separate high and low important macroblocks to different priority queues based on the overflow state of MAC layer queues. The arrival rate of packets to queues is thus changed to reduce the queue overflow and to decrease of the packet droppingrates at queues. Experimental results show that using the proposed scheme can reduce the packet drop rate at the queues resulting in the reduction of packet loss rate and the improvement of the average PSNR.

An Improved Cross-Layer Architecture for H.264/SVC Transmission over IEEE 802.11e Networks

2013 ◽  
Vol 303-306 ◽  
pp. 1933-1938
Author(s):  
Yun Feng Wang ◽  
Hong Bing Ma
Keyword(s):  
Video Transmission ◽  
Scalable Video Coding ◽  
Video Quality ◽  
Wireless Channel ◽  
Ieee 802.11E ◽  
Cross Layer ◽  
Cross Layer Design ◽  
Application Layer ◽  
Mapping Mechanism

As an extension to H.264, Scalable Video Coding (SVC) provides three types of scalability, which makes it more suitable for the video transmission over wireless networks. IEEE 802.11e introduces EDCA mechanism to support Quality of Service (QoS). In this paper, a scheme, based on cross-layer design between application layer and MAC layer, is proposed to improve SVC transmission over 802.11e networks. With optimized mapping mechanism and queue management, the approach has taken the SVC video priority and network congestion status into consideration. Simulation demonstrates the effectiveness of the algorithm. The experimental results show that our approach can get full use of the limited wireless channel resources, by which SVC packets with high priority can obtain better protection, thus the decoding video quality can be significantly improved.

A Cross-Layer Design for Video Streaming Over 802.11e HCCA Wireless Network

2013 ◽  
pp. 261-273
Author(s):  
Hongli Luo
Keyword(s):  
Wireless Network ◽  
Video Streaming ◽  
Wireless Lan ◽  
Video Transmission ◽  
Video Codec ◽  
Ieee 802.11E ◽  
Cross Layer ◽  
Cross Layer Design ◽  
Queuing Delay

Video transmission over wireless networks has quality of service (QoS) requirements and the time-varying characteristics of wireless channels make it a challenging task. IEEE 802.11 Wireless LAN has been widely used for the last mile connection for multimedia transmission. In this paper, a cross-layer design is presented for video streaming over IEEE 802.11e HCF Controlled Channel Access (HCCA) WLAN. The goal of the cross-layer design is to improve the quality of the video received in a wireless network under the constraint of network bandwidth. The approach is composed of two algorithms. First, an allocation of optimal TXOP is calculated which aims at maintaining a short queuing delay at the wireless station at the cost of a small TXOP allocation. Second, the transmission of the packets is scheduled according to the importance of the packets in order to maximize the visual quality of video. The approach is compared with the standard HCCA on NS2 simulation tools using H.264 video codec. The proposed cross-layer design outperforms the standard approach in terms of the PSNRs of the received video. This approach reduces the packet loss to allow the graceful video degradation, especially under heavy network traffic.

Video Quality Evaluation for H.264 Video Streaming over Wireless Networks

2013 ◽  
Vol 760-762 ◽  
pp. 639-642
Author(s):  
Li Qiang Liu ◽  
Yue Bing Wang ◽  
Quan Feng Yan
Keyword(s):  
Wireless Networks ◽  
Wireless Network ◽  
Video Transmission ◽  
Rapid Development ◽  
Video Quality ◽  
Video Encoding ◽  
Network Bandwidth ◽  
Transmission Quality ◽  
Routing Technology

With the rapid development of computer technology and wireless network communication technology, video encoding technology will be more and more widely applied in the limited resources of the wireless network. Due to the large amount of data of the video transmission , transmission quality of transmit video on the wireless network are varied with different compression parameters, network parameters and network conditions. Simulation results show that the transmission of video over wireless networks, must be based on the current network conditions, choosing the suitable GOP length and quantitative parameters to get the high image quality. In specific applications, network topology, network bandwidth, routing technology and transmission of packet segmentation scheme and other factors will affect the quality of service for video services.

scholarly journals Video Transmission In Wireless Multihop Networks

2019 ◽  
Vol 8 (6) ◽  
pp. 3562-3565
Keyword(s):  
Wireless Networks ◽  
Wireless Network ◽  
Video Streaming ◽  
Video Transmission ◽  
Packet Scheduling ◽  
Video Quality ◽  
Video Communications ◽  
Wireless Data ◽  
Wireless Data Transmission ◽  
Wide Range

Multi hop wireless networks are being deployed in many video streaming applications because they have several potential features for next generation wireless communications. Though optimal encoding techniques offers significant quality retention in video transmission still it is insufficient to overcome the challenges ahead over wireless network transmission. In order to support wide range video communications in an efficient way certain Quality of service has to be retained in multi hop wireless network. To address this issue, this paper investigates several encoding and routing protocols video delivery over multi hop wireless networks. Specifically, we first investigate several encoding framework for videos and wireless data transmission over WMNs through individual paths; we then investigate the challenges ahead to formulate resistant routing model for least possible video quality dictions which incorporate channel status as well as the encoder properties over video characteristics. In this framework, routing techniques which can maximally used to achieve good video traffic with improved system performance. However, video streaming also have very stringent delay requirements, which makes it difficult to find optimal routes with the least possible distortions. To address this problem, we investigate several enhanced version of packet scheduling techniques for video communications over multi path multi hob multi user wireless network environment.

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