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作 者:朱浩文 金仲和[2] 应乐 黄建青 段欣欣 ZHU Haowen;JIN Zhonghe;YING Le;HUANG Jianqing;DUAN Xinxin(Shanghai Aerospace Electronic Technology Institute,Shanghai 201109,China;School of Aeronautics and Astronautics,Zhejiang University,Hangzhou 310013,China;Beijing Institute of Spacecraft System Engineering,Beijing 100094,China)
机构地区:[1]上海航天电子技术研究所,上海201109 [2]浙江大学航空航天学院,杭州310013 [3]北京空间飞行器总体设计部,北京100094
出 处:《航天器工程》2022年第5期87-94,共8页Spacecraft Engineering
摘 要:在空间天地一体化网络通信系统中,针对高级在轨系统(AOS)链路网络传输效率低、丢包等问题,提出了一种基于随机早期检测(RED)算法改进的流量控制算法,实现AOS链路可靠的自动流量控制;该算法基于AOS链路网关内部缓存队列对流量控制终端速率进行动态调整,控制网关缓存队列长度始终处于合理的范围内,实现AOS链路与网络链路速率的自动匹配,提高AOS链路的可靠性和传输效率。采用OPNET软件建模对流量控制算法进行了仿真,结果表明:该算法能够实现高效的自动流量控制,在空间网络环境下,算法运行稳定后,AOS链路丢包率为0、传输效率可达99%以上;在我国空间站AOS网关中实现并应用了该算法,对其在轨数据进行了实测分析,实测结果与仿真结果一致,在轨取得了良好的流量控制效果。Aiming at the problems of low transmission efficiency and packet loss of advanced orbit system(AOS)link in the integrated space-ground network communication system,a flow control algorithm based on random early detection(RED)algorithm is proposed to achieve automatic flow control of the AOS link reliably.The algorithm dynamically adjusts the data rate of network terminal based on the internal buffer queue lenth of the AOS link gateway,and keeps the buffer queue to always be within a reasonable range,so as to realize the automatic matching of data rate between the AOS link and the network link,thus improves the reliability and transmission efficiency of the AOS link.Modeling and simulating of the algorithm based on OPNET is conducted.The results show that the algorithm can efficiently achieve automatic flow control of the AOS link,the AOS link packet loss rate is 0 and transmission efficiency can reach above 99%after the algorithm runs stably under space network environment.The algorithm is implemented and applied in the AOS gateway of the China Space Station,the on-orbit AOS data is analysed and the results are consistent with the simulation results,which shows good flow control effect is achieved based on the algorithm in orbit.
关 键 词:空间高级在轨系统链路 流量控制 随机早期检测算法
分 类 号:TP334[自动化与计算机技术—计算机系统结构]
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