基于区域划分的LEO卫星星座QoS路由算法
作者:
作者单位:

1.北京遥测技术研究所;2.西安电子科技大学综合业务网理论及关键技术国家重点实验室

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中图分类号:

V474.2

基金项目:

科技部十三五重点研发课题(2016YFB0500903)


QoS routing algorithm for LEO satellite constellation
Author:
Affiliation:

1. Beijing Research Institute of Telemetry, Beijing 100076, China; 2. State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an 710071, China

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    摘要:

    针对LEO卫星网络中由于流量分布不均导致的拥塞问题,以及多种通信业务带来的QoS保障问题,提出了基于区域划分的多业务QoS路由算法(MSR-RP)。算法考虑了信关站有限分布造成的漏斗流量问题,一方面通过划分动态区域,减少区域节点数量,降低了算法整体计算复杂度;另一方面,在轻负载区域采用最短路径算法计算路由,重负载区域采用多目标遗传算法计算路由,保障不同业务QoS并实现负载均衡。对MSR-RP路由算法进行了仿真建模和实现,在设计的仿真场景中,对业务流分类(TCD)算法与MSR-RP算法进行性能对比分析。结果表明,MSR-RP算法在提供QoS保障的同时,具有良好的负载均衡性能,网络吞吐量有较大提升。随着全局业务量的增大,其网络平均时延、丢包率低于TCD算法。

    Abstract:

    Aiming at the congestion problem caused by the uneven global traffic distribution in the LEO satellite network and the QoS guarantee problem caused by multiple communication services, a Multi-Service QoS Routing Algorithm based on Region Partition (MSR-RP), which considering the problem of funnel traffic caused by the limited distribution of gateways, is proposed in this paper. On the one hand, it reduces the number of regional nodes by dividing the dynamic area and lowers the overall calculation complexity of the algorithm; on the other hand, it uses the shortest path algorithm to calculate the route in the light-load region, and uses a multi-objective genetic algorithm to calculate the route in the heavy-load region. Through these two methods, the QoS of different traffic is assured and load balancing is achieved. The simulation and implementation of the MSR-RP routing algorithm, the designing of simulation scenarios, and the comparison of the performance of the TCD algorithm with the MSR-RP algorithm are also demonstrated. The results show that the MSR-RP algorithm has good load balancing performance while providing QoS guarantee, and the network throughput has been improved. With the increase of the overall traffic volume, the proposed algorithm has lower average network delay and packet loss rate than the TCD algorithm.

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李澎,赵祥,胡剑平,魏乐乐,张冰.基于区域划分的LEO卫星星座QoS路由算法[J].遥测遥控,2022,43(2):17-24.

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  • 收稿日期:2021-08-24
  • 最后修改日期:2022-03-10
  • 录用日期:2021-12-02
  • 在线发布日期: 2022-03-22
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  • 优先出版日期: 2022-03-22