面向航天器有线无线混合场景的流调度机制研究

赵国锋; 卢奕杉; 徐川; 邢媛; 何熊文; 崔钊婧

doi:10.11999/JEIT211391

面向航天器有线无线混合场景的流调度机制研究

doi: 10.11999/JEIT211391

赵国锋^{1, 2},
卢奕杉¹,
徐川^{1, 2, ,},
邢媛¹,
何熊文³,
崔钊婧³

1.
重庆邮电大学通信与信息工程学院重庆 400065
2.
复杂环境通信重庆市重点实验室重庆 400065
3.
中国空间技术研究院北京空间飞行器总体设计部北京 100094

基金项目: 国家自然科学基金(62171070)，国家重点研发计划(2018YFB1800301, 2018YFB1800304)

详细信息

作者简介:
赵国锋：男，教授，研究方向为工业互联网、天地一体化网络、网络测量

卢奕杉：男，硕士生，研究方向为时间敏感网络

徐川：男，教授，研究方向为时间敏感网络、天地一体化网络、工业互联网

邢媛：女，博士生，研究方向为空间信息网络、时间敏感网络

何熊文：男，研究员，研究方向为空间数据系统、航天器综合电子系统、星载嵌入式软件等

崔钊婧：女，助理研究员，研究方向为软件定义网络、时间触发以太网等

通讯作者:
徐川　xuchuan@cqupt.edu.cn

中图分类号: TN915; TP393
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- 被引次数: 0
出版历程
- 收稿日期: 2021-12-01
- 修回日期: 2022-05-27
- 网络出版日期: 2022-06-17
- 刊出日期: 2023-02-07

Research on Flow Scheduling Mechanism for Spacecraft Wired Wireless Hybrid Scenario

ZHAO Guofeng^{1, 2},
LU Yishan¹,
XU Chuan^{1, 2
, ,},
XING Yuan¹,
HE Xiongwen³,
CUI Zhaojing³

1.
School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2.
Chongqing Key Laboratory of Complex Environment Communication, Chongqing 400065, China
3.
Beijing Institute of Spacecraft System Engineering , China Academy of Space Technology, Beijing 100094 , China

Funds: The National Natural Science Foundation of China (62171070), The National Key Research and Development Project of China (2018YFB1800301, 2018YFB1800304)

摘要

摘要: 随着各国深空探测任务的开展，空间站的建设需求日益增加，而航天器内部大量的数据通信总线在一定程度上影响了航天器的有效载荷。因此，该文将无线通信方式引入到航天器通信系统设计中，但传统无线通信难以保障时敏数据的端到端传输时延，该文提出了一种有线无线融合的时间敏感网络(TSN)流调度方案。设计了一种上下行时隙分离的TDMA时隙分配机制，通过对航天器内部业务类型与有线无线融合传输链路的时延关系进行建模分析，构建了以时敏业务平均端到端时延最小的目标函数，采用粒子群算法对时隙分配方案进行快速求解。最后在Pycharm平台对所提算法进行对比测试，并在EXata网络仿真平台搭建航天传感器采集网络进行验证。实验结果表明，该文所提出的有线无线融合流调度方案能为时敏业务提供稳定、有界的时延保障。
- 航天器 /
- 有线无线融合 /
- 时间敏感网络 /
- 时隙分配
Abstract: With the development of deep-space explorations in various countries, the demand for construction of space stations is increasing. However, a large number of data communication buses inside the spacecraft affect the payload of spacecraft to a certain extent. The wireless communication is introduced into spacecraft communication system. But, the traditional wireless communication can not guarantee the end-to-end delay for time-sensitive traffic. Therefore, this paper proposes a flow scheduling scheme for wire and wireless converged time-sensitive network. Firstly, a TDMA time slot allocation mechanism with separation of uplink and downlink communication is designed, the delay relationship between the type of services inside the spacecraft and the wired and wireless converged transmission link is modeling and analyzed. An objective function with the minimum average end-to-end delay of time-sensitive traffic is built. The time-slot allocation scheme is solved quickly by the particle swarm optimization algorithm. Finally, the proposed algorithm is tested on the Pycharm platform. Furthermore, a spacecraft sensor acquisition network is built on the EXata network simulation platform to test the performance. The results show that the proposed scheme can provide stable and bounded delay guarantees for time-sensitive traffic.
- Spacecraft /
- Wired wireless integration /
- Time Sensitive Network (TSN) /
- Slot allocation

HTML全文

图 1 航天器确定性通信需求

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图 2 超帧结构设计

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图 3 保护带设置

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图 4 时隙分配算法性能对比

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图 5 有线无线融合的航天器TSN仿真场景

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图 6 有线无线融合流调度性能测试

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算法1　PSO-TSN算法
Input: 网络设备数$ N $，无线传输速率$ v $，设备业务量大小$ B_n^s $，种　　　　群数量$ Np $，最大迭代数maxCycle，惯性权重$ w $，TDMA 　　　　时隙起始位置$ {T_{\text{b}}} $，结束位置$ {T_{\text{e}}} $，单位时隙长度$ {T_{\text{p}}} $
Output: 网络最低时延、时隙最佳位置
1. for $ i $=1 to$ N $
2. 　　for $ j $= 1 to $ Np $
3. 　　　　$ p(i,j) $ = randn($ {T_{\text{b}}} $,$ {T_{\text{e}}} $)//初始化粒子所处位置
4. 　　　　$ v(i,j) $ = $ {T_{\text{p}}} $ //初始化粒子速度
5. 　　end for
6. end for
7. ${\rm{gBest}}$ = min{${\rm{pBest}}$}
8. for $ i $ = 1 to$ N $
9. 　　while Cycle ≤ maxCycle
10. 　　　　for $ j $ =1 to$ Np $
11. 　　　　　　update $ p(i) $,$ v(i) $
12. 　　　　　　if fit($ p(i,j) $) < fit(${\rm{pBest}}(i,j)$)
13. 　　　　　　　　${\rm{pBest}}(i,j)$ = $ p(i,j) $
14. 　　　　　　if fit(${\rm{pBest}}(i,j)$)<fit(${\rm{gBest}}(i)$)
15. 　　　　　　　　${\rm{gBest}}(i)$ = ${\rm{pBest}}(i,j)$
16. 　　　　end for
17. 　　end while
18. end for
19. for $ i $ =1 to$ N $
20. 　　best_position = F(${\rm{gBest}}(i)$)
21. 　　min_delay = F(${\rm{gBest}}(i)$)
22. end for

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表 1 网络场景参数

参数	数值
有线无线融合网关个数	3
融合网关覆盖节点数	5
融合网关与控制中心有线跳数	3
终端有线跳数	1

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表 2 仿真业务参数

业务类型	源端	目的端	周期(ms)	业务量(bit)
压力传感信息	终端32	终端22	5	500
压力传感信息	终端35	终端22	5	500
温度传感信息	终端30	终端22	100	700
温度传感信息	终端3	终端18	100	700
视频监控信息	终端27	终端22	500	3000
视频监控信息	终端9	终端16	500	3000
客户端信息	终端15	终端22	–	1000
客户端信息	终端17	终端5	–	1000

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