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基于实时性区分的舰载网络传输优化算法

刘犇 熊雄 李金鹏 郭政业 马雪琪 赵仕通

刘犇, 熊雄, 李金鹏, 等. 基于实时性区分的舰载网络传输优化算法[J]. 中国舰船研究, 2020, 15(增刊): 1–10 doi: 10.19693/j.issn.1673-3185.01693
引用本文: 刘犇, 熊雄, 李金鹏, 等. 基于实时性区分的舰载网络传输优化算法[J]. 中国舰船研究, 2020, 15(增刊): 1–10 doi: 10.19693/j.issn.1673-3185.01693
LIU B, XIONG X, LI J P, et al. Real-time identification based shipborne network transmission optimization algorithm[J]. Chinese Journal of Ship Research, 2020, 15(增刊): 1–10 doi: 10.19693/j.issn.1673-3185.01693
Citation: LIU B, XIONG X, LI J P, et al. Real-time identification based shipborne network transmission optimization algorithm[J]. Chinese Journal of Ship Research, 2020, 15(增刊): 1–10 doi: 10.19693/j.issn.1673-3185.01693

基于实时性区分的舰载网络传输优化算法

doi: 10.19693/j.issn.1673-3185.01693
基金项目: 国家自然科学基金资助项目(12002336)
详细信息
    作者简介:

    刘犇,男,1994年生,硕士,助理工程师。研究方向:舰船电子信息系统。E-mail:liuben539@qq.com

    熊雄,男,1975年生,硕士,高级工程师。研究方向:舰载作战系统集成。E-mail:bigbear131@qq.com

    李金鹏,男,1985年生,博士,高级工程师。研究方向:舰船电子信息系统。E-mail:jinpeng2037@126.com

    通信作者:

    刘犇

  • 中图分类号: U665.261

Real-time identification based shipborne network transmission optimization algorithm

  • 摘要:   目的  提出一种基于实时性区分的舰载网络传输优化算法−实时延迟(real time delay based,RTDB)算法。  方法  该算法根据不同类型报文的实时性需求对其进行分类,并指定不同的阈值,通过对报文的类型进行判定和处理来保证各报文的实时性需求。结合美国海军广泛使用的战术数据链Link11,Link16对算法增益进行分析。  结果  理论分析表明,在业务数据量大于网络传输带宽,或业务生成率满足确定性分布的情况下,RTDB算法能带来一定的时延增益;使用NS3作为仿真平台并进行仿真分析,仿真结果与理论分析结果基本一致。  结论  所提出的RTDB算法部署代价小,对于急需进行海军现代化改装的国家具有较重要意义。
  • 图  1  帧格式

    Figure  1.  Frame format

    图  2  算法总流程

    Figure  2.  Algorithm flow

    图  3  阈值选择模块流程

    Figure  3.  The flow of threshold selection module

    图  4  判定模块流程图

    Figure  4.  The flow of decision module

    图  5  NS3架构

    Figure  5.  The architecture of NS3

    图  6  仿真场景

    Figure  6.  Simulation scenario

    图  7  低负载情况下数据链Link11的网络吞吐率和端到端时延随网络负载的变化

    Figure  7.  Variation of network throughput and end-to-end delay with network load of Link11 at low load condition

    图  8  低负载情况下数据链Link16的网络吞吐率和端到端时延随网络负载的变化

    Figure  8.  Variation of network throughput and end-to-end delay with network load of Link16 at low load condition

    图  9  中等负载下数据链Link11的网络吞吐率和端到端时延随网络负载的变化

    Figure  9.  Variation of network throughput and end-to-end delay with network load of Link11 at middle load condition

    图  10  中等负载下数据链Link16的网络吞吐率和端到端时延随网络负载的变化

    Figure  10.  Variation of network throughput and end-to-end delay with network load of Link16 at middle load condition

    图  11  满负载下数据链Link11的网络吞吐率和端到端时延随网络负载的变化

    Figure  11.  Variation of network throughput and end-to-end delay with network load of Link11 at full load condition

    图  12  满负载下数据链Link16的网络吞吐率和端到端时延随网络负载的变化

    Figure  12.  Variation of network throughput and end-to-end delay with network load of Link16 at full load condition

    图  13  固定负载情况下数据链Link11的网络吞吐率和端到端时延随阈值的变化

    Figure  13.  Variation of network throughput and end-to-end delay with threshold of Link11 at fixed load condition

    图  14  固定负载情况下数据链Link16的网络吞吐率和端到端时延随阈值的变化

    Figure  14.  Variation of network throughput and end-to-end delay with threshold of Link16 at fixed load condition

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出版历程
  • 收稿日期:  2019-07-28
  • 修回日期:  2020-04-07
  • 网络出版日期:  2020-12-10

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