Effect of Task Size on Task Allocation in Distributed Satellite Systems

Institut

Lehrstuhl für Spacecraft Systems (TUM-ED)

Typ

Semesterarbeit / Masterarbeit /

Inhalt

 

Beschreibung

The increasing scale of satellite constellations is driving the transition from centralized mission planning toward distributed satellite systems (DSS) with onboard autonomy. Decentralized task allocation improves robustness and scalability but introduces communication and computational challenges, especially when tasks generate large data volumes. In realistic Earth observation missions, task data size directly impacts inter-satellite communication, onboard processing, and system performance. This thesis extends an existing decentralized task allocation framework to systematically study the effect of task data size on task allocation efficiency, fulfilment of observation, robustness, communication overhead, and complexity across different constellation architectures and levels of centralization.

Voraussetzungen

Enrolled in a Master’s program of Aerospace Engineering or Computer Science (with strong interest in space systems).

Eligibility to conduct a Semester Thesis or Master’s Thesis at the Technical University of Munich.

Proficiency in Python.

Möglicher Beginn

sofort

Kontakt

Vincenzo Messina
Tel.: +49 89 289 55752
vincenzo.messinatum.de

Ausschreibung