Dynamical influence driven space system design

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Complex networks are emerging in low-Earth-orbit, with many thousands of satellites set for launch over the coming decade. These data transfer networks vary based on spacecraft interactions with targets, ground stations, and other spacecraft. While constellations of a few, large, and precisely deployed satellites often produce simple, grid-like, networks. New small-satellite constellations are being deployed on an ad-hoc basis into various orbits, resulting in complex network topologies. By modelling these space systems as flow networks, the dominant eigenvectors of the adjacency matrix identify influential communities of ground stations. This approach provides space system designers with much needed insight into how differing station locations can better achieve alternative mission priorities and how inter-satellite links are set to impact upon constellation design. Maximum flow and consensus-based optimisation methods are used to define system architectures that support the findings of eigenvector-based community detection.
Original languageEnglish
Number of pages12
Publication statusPublished - 2 Dec 2021
EventComplex Networks 2021: The 10th International Conference on Complex Networks and their Applications - Madrid, Spain
Duration: 30 Nov 20212 Dec 2021


ConferenceComplex Networks 2021


  • complex networks
  • low-Earth-orbit
  • satellites
  • spacecraft
  • data transfer
  • space systems


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