基于亲和传播算法的LEO卫星多控制器部署策略

Zuoren Yan, Debin Wei, Weiwei Qiao
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引用次数: 0

摘要

针对软件定义卫星网络中地面用户分布不均匀、节点链路可靠性波动和控制器组切换频繁等问题,提出了一种基于最近邻传播的LEO卫星多控制器部署策略。该策略旨在降低时延,均衡网络负载,提高节点和链路的可靠性,延长控制器组的有效时间。采用最近邻传播聚类算法划分控制域,选择控制器组。然后采用模拟退火算法迭代选择较好的性能方案。实验表明,该算法能在保证全网负载均衡的条件下,有效地降低控制域中的时延,提高链路可靠性,保证控制器组的稳定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-controller deployment strategy for LEO satellite based on affinity propagation algorithm
Aiming at the problems of uneven distribution of ground users, reliability fluctuation of nodes and links and frequent switching of controller groups in software-defined satellite networks, a multi-controller deployment strategy for LEO satellites based on nearest neighbor propagation is proposed. The strategy aims to reduce the delay, balance the network load, improve the reliability of nodes and links and extend the effective duration of the controller group. The control domain is divided by the nearest neighbor propagation clustering algorithm and the controller group is selected. Then the simulated annealing algorithm is used to iteratively select a better performance scheme. Experiments show that the algorithm can effectively reduce the delay in the control domain, improve the link reliability, and ensure the stability of the controller group under the condition of guaranteeing the load balance of the whole network.
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