MOLM:在低地轨道卫星网络中通过基于多目标模拟退火的负载平衡路由缓解拥塞问题

Future Internet Pub Date : 2024-03-25 DOI:10.3390/fi16040109
Yihu Zhou, Haiming Chen, Zhibin Dou
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引用次数: 0

摘要

在卫星网络中,现有的拥塞解决方法没有考虑路径的可预测性和稳定性,从而导致频繁的路径切换和高昂的维护成本。为此,我们提出了一种名为 MOLM 的新型拥塞解决方法,它在路径更新过程中引入了一个连续的邻居集。该集合包括能够与拥塞节点的前节点和后节点建立可持续连接的节点。MOLM 与多目标模拟退火框架相结合,从这一集合中反复推导出最优选择,以替换拥塞节点。此外,我们还采用了基于备份路径的快速重路由机制(FRR-BP)来处理节点故障。仿真结果表明,最优节点赋予了新路径最优的路径稳定性和路径延迟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MOLM: Alleviating Congestion through Multi-Objective Simulated Annealing-Based Load Balancing Routing in LEO Satellite Networks
In satellite networks, existing congestion resolution methods do not consider the predictability and stability of paths, leading to frequent path switches and high maintenance costs. In this regard, we propose a novel congestion resolution approach, named MOLM, which introduces a continuous neighbor set during path updates. This set includes nodes capable of establishing sustainable connections with the predecessors and successors of congested nodes. Combined with a multi-objective simulated annealing framework, MOLM iteratively derives an optimal selection from this set to replace congested nodes. Additionally, we employ a Fast Reroute mechanism based on backup paths (FRR-BP) to address node failures. The simulation results indicate that the optimal node endows the new path with optimal path stability and path latency.
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