Concurrent Reconfiguration of Resource-Oriented Emergency TT&C Mission Planning for Space Information Networks

The scale expansion of the space information networks (SINs) makes the demands for tacking, telemetry and command (TT&C) missions increase dramatically. An increasing number of missions and a sharp conflict of resources make it much more challenging to schedule missions reasonably. In order to ensure both the mission completion rate of the high concurrent emergency missions and the performance of regular missions, a conflict degree scheduling algorithm based on transfer strategy (CDSA-TS) is proposed concurrently reconfiguring multi-dimensional resources reasonably. Furthermore, we design an emergency mission planning algorithm based on simulated annealing algorithm (EMPA-SA) to increase the probability of jumping out of the trap through the iterative neighborhood searching strategy and destabilization. Finally, we design a simulation system to verify the network performance in terms of the integrated weights of completed missions and the time consumption of the proposed algorithms. We also investigate the impact of the scheduling strategy for emergency missions on regular missions to improve the overall network performance, which provides guidance for emergency mission planning in the future for the large scale constellation oriented SINs.