基于人工蜂群的低轨道卫星网络混合负载均衡算法

Xiaoheng Chen, Jiali Bian
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引用次数: 1

摘要

随着卫星通信网络的发展,低轨卫星星座网络已成为一个热点。由于业务量分布不均可能导致星间链路拥塞,负载均衡路由已成为低轨道卫星通信的一个重要问题。为解决这一问题,提出了一种混合路由算法ABC-HLBR,该算法将基于人工蜂群的全局负载均衡路由与基于两跳链路状态的实时10卡尔路由动态调整相结合。仿真结果表明,该算法在平均端到端时延、平均丢包率和总吞吐率方面提高了网络性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Hybrid Load Balancing Algorithm Based on Artificial Bee Colony for LEO Satellite Networks
With the development of satellite communication network, LEO satellite constellation network has become a hotspot. Due to the uneven distribution of traffic, which may cause the inter-satellite link congestion, load balance routing has become an important issue for LEO. To solve this problem, a hybrid routing algorithm ABC-HLBR is proposed, which combines global load balancing routing based on artificial bee colony with real-time 10-cal route dynamic adjustment based on two-hop link states. Simulation results show that the performance of network is improved by this algorithm in terms of the average end-to-end delay, the average drop rate and the total throughput.
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