Distributed Coordination of Space–Ground Multiresources for Remote Sensing Missions

As data relay satellites (DRSs) play an increasingly important supporting role in remote sensing missions, efficient coordination across space–ground multiresources becomes a significant problem. Owing to the implementation problem of centralized coordinate methods, this paper studies distributed resource scheduling method which is realizable current space network structure. To be specific, we first formulate multiple into MILP based on modified time-expanded graph. Then, transferred and decomposed subproblems for satellite (RSS) systems DRS solve distributedly. Afterwards, propose iterative scheme RSS alternating direction multipliers (ADMM), only schedule information inter-satellite links are required exchange between systems. Simulation results provided validate effectiveness our coordinated algorithm.