基于限速的Ad hoc网络混合流拥塞控制研究

doi:10.11896/j.issn.1002-137X.2014.12.019

计算机科学 ›› 2014, Vol. 41 ›› Issue (12): 86-90.doi: 10.11896/j.issn.1002-137X.2014.12.019

基于限速的Ad hoc网络混合流拥塞控制研究

陈亮,徐阳

南通大学计算机科学与技术学院南通226019;南通航运职业技术学院管理信息系南通226010

出版日期:2018-11-14 发布日期:2018-11-14
基金资助:
本文受国家自然科学基金资助

Research on Ad hoc Network Hybrid Flow Congestion Control Based on Rate-limiting

CHEN Liang and XU Yang

Online:2018-11-14 Published:2018-11-14

摘要/Abstract

摘要： 主动队列管理(AQM)的基础是TCP反馈机制,所以AQM在处理UDP与TCP混合流时无法控制UDP流量,导致非视频流影响视频UDP的传输质量。根据TCP拥塞窗口特性和混合流排队机制,推导了Ad hoc网络TCP/UDP的AQM模型,据此提出了一种基于UDP限速的PI主动队列管理算法。限速算法根据实际流速与设定流速之差,标记非视频UDP分组优先级并按从低到高的顺序丢弃分组。NS仿真表明,与PI控制相比,新算法实现了非视频UDP的流量控制,提高了视频传输质量0.98dB的峰值信噪比。

关键词: 无线自组网,拥塞控制,主动队列管理,视频流,服务质量

Abstract: AQM (Active Queue Management) is based on TCP feedback mechanism,so it fails to control UDP flow when managing hybrid flow of TCP and UDP.At last non-video flow will influence video UDP transmission quality.Ad hoc network TCP/UDP AQM model was deduced based on TCP window principle and hybrid flow queuing mechanism.Then a PI (Proportional Integral) AQM algorithm based on UDP rate-limiting was proposed.The algorithm can mark priority of non-video UDP packet according to the difference between actual rate and committed rate.It will drop these packets from low to high priority order.NS simulation shows that compared with PI control,the new algorithm controls non-video UDP flow and improves video transmission quality to 0.98 dB Peak Signal to Noise Ratio (PSNR).

Key words: Ad hoc network,Congestion control,AQM,Video stream,Quality of service

陈亮,徐阳. 基于限速的Ad hoc网络混合流拥塞控制研究[J]. 计算机科学, 2014, 41(12): 86-90. https://doi.org/10.11896/j.issn.1002-137X.2014.12.019

CHEN Liang and XU Yang. Research on Ad hoc Network Hybrid Flow Congestion Control Based on Rate-limiting[J]. Computer Science, 2014, 41(12): 86-90. https://doi.org/10.11896/j.issn.1002-137X.2014.12.019

参考文献

[1] 张永敏,徐伟强,黄炯,等.Ad hoc 网络节能型功率控制与拥塞控制的跨层优化[J].软件学报,2013,24(4):900-914
[2] 陈亮,张宏.基于TCP的无线自组网AQM建模[J].控制理论与应用,2011,28(7):956-962
[3] 汪浩,李晓明,严伟,等.具有最小时间加权平方误差积分的主动队列管理算法ISTE-PI[J].计算机学报,2012,5(5):951-963
[4] 裴畅姣,卢汉成,洪佩琳.无线环境下具有实时约束的主动队列管理机制[J].电子与信息学报,2013,35(5):1069-1075
[5] 朱海婷,丁伟,缪丽华,等.UDP流量对TCP往返延迟的影响[J].通信学报,2013,34(1):19-29
[6] 蔡小玲,范新丽.不同队列管理机制对多媒体传输品质的影响[J].计算机应用,2009,9(12):24-26
[7] 杨巧宁,胡友山,赵淑清,等.基于实时媒体服务质量的主动拥塞控制[C]∥第十九届中国(天津)’2005IT、网络、信息技术、电子、仪器仪表创新学术会议论文集.天津:中国电子学会,2005:179-186
[8] Xu Kai-xin,Mario G,Qi Lan-tao,et al.TCP Unfairness in Ad hoc Wireless Networks and a Neighborhood RED Solution[J].Wireless Networks,2005,11(4):383-399
[9] Huang Ying-song,Mao Shi-wen,Scott M.A Control Theoretic Approach to Rate Control for Streaming Videos[J].IEEE tran-sactinos on multimedia,2009,1(6):1072-1081
[10] Hu Wu-hua,Xiao Gao-xi.Comments on A Control-TheoreticApproach to Rate Control for Streaming Videos[DB/OL].[2013-12].https://docs.google.com/file/d/0B28hHvcfCxgUb2lXVTNjaW16T2M/edit?usp=sharing&pli=1
[11] Ke Chin-heng,Shieh Ce-kuen,Hwang Wen-shyang,et al.An Evaluation Framework for More Realistic Simulations of MPEG Video Transmission[J].Journal of Information Science and Engineering,2008,24(2):425-440
[12] Santos C,Ribeiro E,Pedroso C.The application of neural networks toimprove the quality of Experience of video transmission over IP networks[J].Engineering Applications of Artificial Intelligence,2014,7(1):137-147
[13] 张瑶,吴逸伦,彭伟.基于用户身份认证的网络服务质量保障模型[J].重庆理工大学学报:自然科学版,2014,28(3):116-121

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed

基于限速的Ad hoc网络混合流拥塞控制研究

Research on Ad hoc Network Hybrid Flow Congestion Control Based on Rate-limiting

PDF (PC)

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 0

Metrics

本文评价

推荐阅读 0