On the Network Characterization of Nano-Satellite Swarms

Low-frequency radio interferometry is crucial to understanding the universe and its very early days. Unfortunately, most of the current instruments are ground-based and thus impacted by the interferences massively produced by the Earth. To alleviate this issue, scientific missions aim at using Moon-...

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Bibliographic Details
Main Authors: Akopyan, Evelyne, Dhaou, Riadh, Lochin, Emmanuel, Pontet, Bernard, Sombrin, Jacques
Format: Conference Proceeding
Language:English
Subjects:
Energy consumption
Graph Theory
Moon
Network Characterization
Protocols
Radio interferometry
Space missions
Space vehicles
Swarm of Nano-Satellites
Wireless communication
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Summary:Low-frequency radio interferometry is crucial to understanding the universe and its very early days. Unfortunately, most of the current instruments are ground-based and thus impacted by the interferences massively produced by the Earth. To alleviate this issue, scientific missions aim at using Moon-orbiting nano-satellite swarms as distributed radio-telescopes in outer space, keeping them out of Earth interference range. However, swarms of nano-satellites are systems with complex dynamics and need to be appropriately characterized to achieve their scientific mission. This paper presents a methodology based on graph theory for characterizing the swarm network system by computing graph theory metrics around three properties: the node density, network connectivity and ISL availability. We show that these properties are well-suited for highlighting a possible heterogeneity in a network and adapt a routing strategy accordingly. This work is the first milestone in defining the best-suited routing strategy within the swarm from the derived network properties.
ISSN:2642-7389
DOI:10.1109/ISCC58397.2023.10218020