Multi-layer temporal network model of the space environment
Wang, Yirui and Wilson, Callum and Vasile, Massimiliano (2023) Multi-layer temporal network model of the space environment. In: 2023 AAS/AIAA Astrodynamics Specialist Conference, 2023-08-13 - 2023-08-17, Big Sky Resort.
Preview |
Text.
Filename: Wang-etal-AAS-AIAA-2023-Multi-layer-temporal-network-model.pdf
Accepted Author Manuscript License: Strathprints license 1.0 Download (2MB)| Preview |
Abstract
To investigate the resilience and sustainability of the global space environment, a Multi-layer Temporal Network Model (MTN) is proposed in this paper. The idea of the network model is to study the relationships among groups of objects in space by studying the topology and dynamics of an equivalent network where each node is a group of objects and the link is modelling the relationship. “Multi-layer indicates different functionalities among the space objects, such as the physics and information, etc. Currently, only physical layer of MTN is considered. By comparing with the simulation results from existing space environment model, the correctness of the network model is first verified. Some experiments are performed to demonstrate the basic functionalities of the proposed MTN.
ORCID iDs
Wang, Yirui, Wilson, Callum ORCID: https://orcid.org/0000-0003-3736-1355 and Vasile, Massimiliano ORCID: https://orcid.org/0000-0001-8302-6465;-
-
Item type: Conference or Workshop Item(Paper) ID code: 88363 Dates: DateEvent13 August 2023PublishedSubjects: Science
Technology > Mechanical engineering and machineryDepartment: Faculty of Engineering > Mechanical and Aerospace Engineering
Strategic Research Themes > Ocean, Air and Space
Technology and Innovation Centre > Advanced Engineering and ManufacturingDepositing user: Pure Administrator Date deposited: 06 Mar 2024 15:47 Last modified: 30 Nov 2024 01:36 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/88363