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Conference Papers Year : 2023

On the Network Characterization of Nano-Satellite Swarms

Abstract

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 Moonorbiting 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.
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Dates and versions

hal-04098445 , version 1 (16-05-2023)

Identifiers

  • HAL Id : hal-04098445 , version 1

Cite

Evelyne Akopyan, Riadh Dhaou, Emmanuel Lochin, Bernard Pontet, Jacques Sombrin. On the Network Characterization of Nano-Satellite Swarms. 28th IEEE Symposium on Computers and Communications (ISCC 2023), IEEE, Jul 2023, Tunis, Tunisia. ⟨hal-04098445⟩
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