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面向空间网络中任务发生的时间和空间随机性,建立中继卫星系统服务模型,并提出了一种动态的空间任务调度方法。基于中继卫星天线资源的差异,对2种天线资源分别建模,构建中继卫星系统的多星多天线服务模型。利用空间网络拓扑动态变化的特点,结合空间任务的多优先级和容忍延时特性,提出一种基于种群联合进化的资源分配算法。仿真结果表明:与贪婪算法相比,种群联合进化算法能够多完成18.7%的空间任务,有效提高了中继卫星系统的任务完成能力。
Facing the time and space randomness of tasks in space network, the service model of relay satellite system is established, and a dynamic scheduling method for space tasks is proposed. Based on the difference of relay satellite antenna resources, the two kinds of antenna resources are respectively modeled to build a multi-satellite multi-antenna service model of relay satellite system. Utilizing the characteristics of dynamic changes of spatial network topology, combined with the multi-priority and tolerant delay characteristics of spatial tasks, a resource allocation algorithm based on population co-evolution is proposed. The simulation results show that, compared with the greedy algorithm, the population co-evolutionary algorithm can accomplish 18.7% more space tasks and effectively improve the mission completion capability of the relay satellite system.