New Distributed Scheduling for Emergency Earth Observation Satellites

Qian Yin, Xinwei Wang, Guohua Wu· August 18, 2026 View original

Key takeaways

  • T3L-DS offers an effective distributed scheduling solution for LEO constellations.
  • It significantly improves emergency Earth observation coverage.
  • The method minimizes disruption to routine satellite operation plans.
  • Intra- and inter-cluster coordination mechanisms are key to its performance.

Who benefits

AerospaceDefenseDisaster ManagementTelecommunicationsEnvironmental Monitoring

Summary

This paper proposes T3L-DS, a task-driven three-layer distributed scheduling method for large Low-Earth-Orbit (LEO) constellations to handle emergency Earth observation requests. It optimizes urgent task insertion without disrupting routine plans, achieving higher emergency coverage and reduced routine-coverage loss compared to other distributed methods.

This research introduces a novel scheduling method, T3L-DS (Task-Driven Three-Layer Distributed Scheduling), designed for large Low-Earth-Orbit (LEO) satellite constellations. The primary challenge addressed is the dynamic insertion of urgent Earth observation tasks when routine mission plans are already underway, requiring minimal disruption to existing commitments and efficient resource allocation under intermittent ground contact. T3L-DS operates by representing task demand and sensor footprints on a common geographic grid, forming temporary clusters of observation capabilities and inter-satellite links. It employs onboard dual-plan bidding and joint marginal evaluation for intra-cluster coordination, alongside an inter-cluster mechanism for unresolved demands. Experimental results show that T3L-DS significantly outperforms other distributed methods in emergency coverage and substantially reduces routine-coverage loss, demonstrating its effectiveness for dynamic emergency Earth observation.

Why it matters

Efficient and reliable scheduling for large satellite constellations is crucial for rapid response to emergencies, disaster management, and critical data collection. This distributed approach offers a scalable solution for complex space-based operations.

How to implement this in your domain

  1. 1Evaluate current satellite scheduling algorithms for their ability to handle dynamic emergency requests.
  2. 2Investigate the architectural requirements for implementing a distributed scheduling system like T3L-DS.
  3. 3Develop simulation environments to test the performance of distributed scheduling under various emergency scenarios.
  4. 4Collaborate with satellite operators to pilot advanced scheduling methods for improved responsiveness.

Original post by Qian Yin, Xinwei Wang, Guohua Wu

"arXiv:2608.14789v1 Announce Type: new Abstract: Large low-Earth-orbit (LEO) Earth-observation (EO) constellations offer frequent access to geographically dispersed ground targets, but emergency requests may arrive after committed routine-plan execution has begun. The resulting dy…"

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