软件定义无线Mesh网络中的可伸缩视频传输系统
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摘要
为使无线Mesh网络(WMN)中的视频实现自适应传输,提出一种软件定义网络(SDN)架构下的可伸缩视频传输系统。通过SDN架构将WMN的控制平面分离出来并由控制器负责集中控制和优化。将视频传输问题建模为拥塞概率约束下的视频质量最大化问题,并给出一种基于大偏差理论的线上自适应算法对该问题进行求解。实验结果表明,相比基线算法,该算法的PSNR值、MOS评分较高,平均丢包率较低。
In order to realize adaptive video transmission in Wireless Mesh Networks(WMN),a scalable video transmission system based on Software-Defined Networking(SDN) is proposed.The SDN architecture separates the control plane and the controller is responsible for centralized control and optimization.The video transmission problem is modeled as a video quality maximization problem with congestion probability constraints,and an online adaptive algorithm based on Large Deviation Principle(LDP) is presented to solve the problem.Experimental results show that compared with the baseline algorithm,the Peak Signal-to-Noise Ratio(PSNR) and Mean Opinion Score(MOS) of the proposed algorithm are higher and the average packet loss rate is lower.
In order to realize adaptive video transmission in Wireless Mesh Networks(WMN),a scalable video transmission system based on Software-Defined Networking(SDN) is proposed.The SDN architecture separates the control plane and the controller is responsible for centralized control and optimization.The video transmission problem is modeled as a video quality maximization problem with congestion probability constraints,and an online adaptive algorithm based on Large Deviation Principle(LDP) is presented to solve the problem.Experimental results show that compared with the baseline algorithm,the Peak Signal-to-Noise Ratio(PSNR) and Mean Opinion Score(MOS) of the proposed algorithm are higher and the average packet loss rate is lower.
引文
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[15] TANCHENKO A.Visual-PSNR measure of image quality[J].Journal of Visual Communication and Image Representation,2014,25(5):874-878.
[16] MOLDOVAN A N,GHERGULESCU I,MUNTEAN C H.VQAMap:a novel mechanism for mapping objective video quality metrics to subjective MOS scale[J].IEEE Transactions on Broadcasting,2016,62(3):610-627.
[2] JACQUET P,MUHLETHALER P,CLAUSEN T,et al.Optimized link state routing protocol for ad hoc networks[C]//Proceedings of 2001 IEEE International Multi Topic Conference.Washington D.C.,USA:IEEE Press,2001:62-68.
[3] PERKINS C,BELDING-ROYER E,DAS S.Ad hoc on-demand distance vector (AODV) routing[EB/OL].[2018-06-15].http://rsync5.jp.gentoo.org/pub/IETF/RFC/pdf rfc/rfc3561.txt.pdf.
[4] ABOLHASAN M,HAGELSTEIN B,WANG J C P.Real-world performance of current proactive multi-hop Mesh protocols[C]//Proceedings of the 15th Asia-Pacific Conference on Communications.Washington D.C.,USA:IEEE Press,2009:42-45.
[5] 董超,陈贵海,王海.无线网状网的QoS研究[J].软件学报,2009,20(6):1539-1552.
[6] SCHWARZ H,MARPE D,WIEGAND T.Overview of the scalable video coding extension of the H.264/AVC standard[J].IEEE Transactions on Circuits and Systems for Video Technology,2007,17(9):1103-1120.
[7] 杨晋生,胡自胜,陈为刚.无线可伸缩视频实时传输系统设计与实现[J].电子测量技术,2013,36(1):115-119.
[8] SEZER S,SCOTT-HAYWARD S,CHOUHAN P K,et al.Are we ready for SDN?Implementation challenges for software-defined networks[J].IEEE Communications Magazine,2013,51(7):36-43.
[9] MCKEOWN N,ANDERSON T,BALAKRISHNAN H,et al.OpenFlow:enabling innovation in campus networks[J].ACM SIGCOMM Computer Communication Review,2008,38(2):69-74.
[10] Open Networking Foundation.OpenFlow management and configuration protocol[EB/OL].[2018-06-30].http://book.itep.ru/depository/open_flow/of-config-1.1.pdf.
[11] WEI Dachuan.An optimized Floyd algorithm for the shortest path problem[J].Journal of Networks,2010,5(12):1485-1496.
[12] MANDJES M.Large deviations for Gaussian queues:modelling communication networks[M].Hoboken,USA:John Wiley and Sons,2007.
[13] FONTES R R,AFZAL S,BRITO S H B,et al.Mininet-WiFi:emulating software-defined wireless networks[C]//Proceedings of the 11th International Conference on Network and Service Management.Washington D.C.,USA:IEEE Computer Society,2015:384-389.
[14] LIECHTY L C.Path loss measurements and model analysis of a 2.4 GHz wireless network in an outdoor environment[EB/OL].[2018-06-25].http://propaga tion.ece.gatech.edu/Archive/PG_TR_070512_LCL/PG_TR_070512_LCL.pdf.
[15] TANCHENKO A.Visual-PSNR measure of image quality[J].Journal of Visual Communication and Image Representation,2014,25(5):874-878.
[16] MOLDOVAN A N,GHERGULESCU I,MUNTEAN C H.VQAMap:a novel mechanism for mapping objective video quality metrics to subjective MOS scale[J].IEEE Transactions on Broadcasting,2016,62(3):610-627.