基于灰狼算法的卫星网络多控制器部署方法  

Multi-Controller Deployment Method for Satellite Network Based on Gray Wolf Optimizer

作　　者：万颖 钱克昌 朱沁雨 WAN Ying;QIAN Ke-chang;ZHU Qin-yu(Space Engineering University,Beijing 101400,China;Unit 32151 of PLA,Xingtai Heibei 054000,China)

机构地区：[1]航天工程大学,北京101400 [2]中国人民解放军32151部队,河北邢台054000

出　　处：《计算机仿真》2023年第10期56-60,81,共6页Computer Simulation

基　　金：国家自然科学基金(61901523)。

摘　　要：软件定义网络(SDN)作为一种可编程和可重构的新兴网络技术,能够驱动未来卫星网络技术的发展。将SDN引入卫星网络架构中,针对传统算法时延较高的问题,提出了一种基于改进灰狼算法(IGWO)的卫星网络多控制部署方法。方法以优化负载均衡为目标,综合考虑了星间链路传播时延、网络排队时延、卫星任务处理时延的影响,改进了灰狼个体的更新策略并加入自适应局部探索操作的方式。实验表明,与传统的模拟退火算法(SA)和混合粒子群算法(HPSO)相比,上述方法能显著提升卫星通信时延和网络负载均衡率。As a new programming and reconfigurable network technology,software-defined network(SDN)can drive the development of satellite network technology in the future.In this paper,SDN is introduced into the satellite network architecture,and a satellite network multi-control deployment method based on the improved gray wolf optimizer(IGWO)is proposed to solve the problem of the high delay of traditional algorithms.To optimize the load balancing,this method comprehensively considers the effects of inter-satellite link propagation delay,network queuing delay,and satellite task processing delay,and improves the updating strategy of Gray Wolf individuals and the way of adding global search operation.Experimental results show that compared with the traditional simulated annealing(SA)and hybrid particle swarm optimization(HPSO),the proposed method can significantly improve satellite communication delay and network load balancing rate.

关 键 词：软件定义网络 控制器部署 卫星网络 改进的灰狼优化器 网络时延 

分 类 号：TN927[电子电信—通信与信息系统]