Exception-Resilient Heuristic Scheduling for Multi-Track Satellite Missions

Dynamic multi-track satellite missions encounter challenges such as resource fluctuations, priority variations, and anomaly recovery. Traditional static scheduling methods lack the adaptability required for such dynamic environments. This paper proposes an exception-resilient heuristic scheme for interconnected satellite missions, optimizing scheduling flexibility via interconnection quality metrics. Experiments show the method reduces task completion delay by 46% compared to conventional approaches, demonstrating improved resilience and efficiency in dynamic multi-track scheduling scenarios.