Optimization Design of Multi task Cluster Network for High Dynamic Space Orbit Relationships

In the future, distributed space system collaborative applications would have some new characteristics: high dynamic changes in spatial orbit relationships, complex coupling relationships between different tasks, and autonomous and fast task planning and control capabilities. Current dynamic networking methods of the cluster system cannot meet the capability requirements including timely change of network architecture with tasks, rapid online reconfiguration of the system, and self-optimization of cluster node resources. Therefore, this paper proposes a spatial distributed hierarchical network architecture based on complex task coupling. A dynamic subnet resource allocation optimization algorithm is designed to solve the problem of node competitions. To verify the effectiveness of the proposed method, a typical application scenario including 4 clusters system is conducted in the simulation example. Simulation results show that the method can meet the requirements of communication performance, which has the elastic networking abilities of "self-response, self-configuration, self-reconfiguration".