دانلود رایگان مقاله رویکرد مبتنی بر برنامه نویسی شبکه برای جریان کارآمد ویدیو بر MANET

Abstract

Video streaming over mobile ad-hoc networks is becoming a highly important application for reliably delivering the content between the user and the content storage node. The key challenge is, hence, to address the impact of the user mobility on the quality of the delivered video. Accordingly, the pioneering concept of network coding (NC) emerges as a promising approach for improving the video transmission quality mainly in multicast mobile environment. This work focuses on improving the Quality of Service of video streaming over mobile ad-hoc networks using random NC. We consider video coded by the widely-used H264/SVC codec that generates packets with different priorities and provides traffic differentiation using the IEEE 802.11e MAC. Intuitively, focusing on lowering the error transmission of high priority packets leads to enhance the video streaming quality. Accordingly, this work develops and proposes a new scalable transmission scheme that decreases the loss of high priority packets. Our approach, named Extended Multicast Scalable Video Transmission using Classification-Scheduling Algorithms and Network Coding over MANET (and denoted EMSCNC), adopts a cross layer design between the H.264/SVC codec, the network and MAC layers. Moreover, we develop an analytical framework allowing the performance evaluation in terms of throughput, delay, and packet delivery ratio. Simulation results validate our analytical model and confirm the substantial performance improvement brought by our approach.

7. Conclusion

In this paper, we proposed a novel cross layer approach named EMSCNC for modeling network coding in a wireless network. EMSCNC requires two workflows associated respectively to the sourcenode and the Intermediate-node. It aims to improve the performance of multicast transmission for video streaming in MANET. It can significantly improve the PDR, PSNR, end-to-end-delay, Jitter, throughput and hence the QoS of multicast video. Additionally, the proposed scheme provides significant improvement on network performance under different receivers. We also examined the effect of QP variation on the delay and received video quality. Moreover, as HD is becoming popular, we consider the HD resolution videos in our experiments. Results show that EMSCNC outperforms other NC schemes. Furthermore, we have proposed an analytical model to evaluate the performance for the average delay, throughput, PSNR and PDR for EMSCNC. Results show a close agreement between the performance evaluated by the analytical model and by simulations of EMSCNC. As an extension of this work, we will investigate the utilization of EMSCNC in multicast wireless network with multi source nodes using a variety of sequence videos. Moreover, H.264/SVC is open source. Hence, we will implement our new framework in some mobile devices and evaluate the performance of the proposed approach in real environment. In addition, we will integrate the HEVC encoded video to investigate the pertinence of the proposed EMSCNC.