Effect of Central Nodes on Task Allocation in Distributed Satellite Systems for Wildfire detection

Institut

Lehrstuhl für Spacecraft Systems (TUM-ED)

Typ

Semesterarbeit / Masterarbeit /

Inhalt

 

Beschreibung

The space industry is adapting to a mass production of satellites, but the adaptation to mass operations is lagging behind. With more than 13,000 active satellites in orbit in 2025, the necessity of more distributed, interconnected satellites is essential, for increasing the performance while minimizing the resources used. Highly decentralized satellite networks convey a high level of complexity and larger communication overhead, while centralized systems lack responsiveness and are less robust. This paper analyzes the effects of different levels of centrality in Distributed Satellite Systems on task allocation efficiency, fulfillment of observations, number of links, complexity and robustness. Different Walker Delta Architectures, with different numbers of satellites, planes, altitudes, and inclinations, are simulated using the Trade-space Analysis Tool for designing Constellations (TAT-C). Using regression curves to fit the simulation results, we extrapolate the correlation between the fraction of central nodes with the performance and costs. A multi-objective optimization is used to identify the optimal range of decentralization for a satellite network for wildfire detection. This thesis aims to adapt the framework developed by Vincenzo Messina to Wildfire detection around the globe. It needs to explore the available dataset of wildfire and integrate them with TAT-C to analyse how the performance and costs evolve for different degrees of centrality for this specific use case.

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