Dynamical influence driven space system design

Ruaridh A. Clark; Ciara N. McGrath; Malcolm Macdonald

Dynamical influence driven space system design

Ruaridh A. Clark, Ciara N. McGrath, Malcolm Macdonald

Electronic And Electrical Engineering

Research output: Contribution to conference › Poster › peer-review

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Abstract

The problem
Emerging small-satellite constellations present as complex data transfer networks, due to the varying contact patterns between spacecraft, data sources (targets) and data sinks (ground stations). The data transfer network is therefore always evolving, requiring an evolving selection of ground stations that depend on spacecraft coverage of identified targets.

The solution
By modelling a constellation for a set period of time, a data transfer network can be created to guide space system designers. We highlight high-level insights from such a network by identifying communities of dynamical influence. We also propose consensus leadership as a method of sink node (ground station) selection for trading-off between high data flow and source node (target) coverage. This work is acting as the basis for a full space system design tool currently under development.

Original language	English
Number of pages	1
Publication status	Published - 30 Nov 2021
Event	Complex Networks 2021: The 10th International Conference on Complex Networks and their Applications - Madrid, Spain Duration: 30 Nov 2021 → 2 Dec 2021

Conference

Conference	Complex Networks 2021
Country/Territory	Spain
City	Madrid
Period	30/11/21 → 2/12/21

Keywords

complex networks
low earth orbit
satellites
spacecraft
data transfer
space systems

Access to Document

Clark-etal-CN2021-Dynamical-influence-driven-space-system-designAccepted author manuscript, 3.72 MB

Cite this

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title = "Dynamical influence driven space system design",

abstract = "The problem Emerging small-satellite constellations present as complex data transfer networks, due to the varying contact patterns between spacecraft, data sources (targets) and data sinks (ground stations). The data transfer network is therefore always evolving, requiring an evolving selection of ground stations that depend on spacecraft coverage of identified targets.The solution By modelling a constellation for a set period of time, a data transfer network can be created to guide space system designers. We highlight high-level insights from such a network by identifying communities of dynamical influence. We also propose consensus leadership as a method of sink node (ground station) selection for trading-off between high data flow and source node (target) coverage. This work is acting as the basis for a full space system design tool currently under development. ",

keywords = "complex networks, low earth orbit, satellites, spacecraft, data transfer, space systems",

author = "Clark, {Ruaridh A.} and McGrath, {Ciara N.} and Malcolm Macdonald",

year = "2021",

month = nov,

day = "30",

language = "English",

note = "Complex Networks 2021 : The 10th International Conference on Complex Networks and their Applications ; Conference date: 30-11-2021 Through 02-12-2021",

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TY - CONF

T1 - Dynamical influence driven space system design

AU - Clark, Ruaridh A.

AU - McGrath, Ciara N.

AU - Macdonald, Malcolm

PY - 2021/11/30

Y1 - 2021/11/30

N2 - The problem Emerging small-satellite constellations present as complex data transfer networks, due to the varying contact patterns between spacecraft, data sources (targets) and data sinks (ground stations). The data transfer network is therefore always evolving, requiring an evolving selection of ground stations that depend on spacecraft coverage of identified targets.The solution By modelling a constellation for a set period of time, a data transfer network can be created to guide space system designers. We highlight high-level insights from such a network by identifying communities of dynamical influence. We also propose consensus leadership as a method of sink node (ground station) selection for trading-off between high data flow and source node (target) coverage. This work is acting as the basis for a full space system design tool currently under development.

AB - The problem Emerging small-satellite constellations present as complex data transfer networks, due to the varying contact patterns between spacecraft, data sources (targets) and data sinks (ground stations). The data transfer network is therefore always evolving, requiring an evolving selection of ground stations that depend on spacecraft coverage of identified targets.The solution By modelling a constellation for a set period of time, a data transfer network can be created to guide space system designers. We highlight high-level insights from such a network by identifying communities of dynamical influence. We also propose consensus leadership as a method of sink node (ground station) selection for trading-off between high data flow and source node (target) coverage. This work is acting as the basis for a full space system design tool currently under development.

KW - complex networks

KW - low earth orbit

KW - satellites

KW - spacecraft

KW - data transfer

KW - space systems

UR - https://complexnetworks.org/

M3 - Poster

T2 - Complex Networks 2021

Y2 - 30 November 2021 through 2 December 2021

ER -

Dynamical influence driven space system design

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

eXtended Satellite Production And Constellation Operations xSPANCION

Identifying effective sink node combinations in spacecraft data transfer networks

Cite this

Dynamical influence driven space system design

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Projects

eXtended Satellite Production And Constellation Operations xSPANCION

Research output

Identifying effective sink node combinations in spacecraft data transfer networks

Cite this