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Time cumulative complexity modeling and analysis for space-based networks

Version 2 2024-06-05, 05:26
Version 1 2016-09-21, 10:58
conference contribution
posted on 2024-06-05, 05:26 authored by J Du, C Jiang, S Yu, Y Ren
In this paper, the notion of the cumulative time varying graph (C-TVG) is proposed to model the high dynamics and relationships between ordered static graph sequences for space-based information networks (SBINs). In order to improve the performance of management and control of the SBIN, the complexity and social properties of the SBIN's high dynamic topology during a period of time is investigated based on the proposed C-TVG. Moreover, a cumulative topology generation algorithm is designed to establish the topology evolution of the SBIN, which supports the C-TVG based complexity analysis and reduces network congestions and collisions resulting from traditional link establishment mechanisms between satellites. Simulations test the social properties of the SBIN cumulative topology generated through the proposed C-TVG algorithm. Results indicate that through the C-TVG based analysis, more complexity properties of the SBIN can be revealed than the topology analysis without time cumulation. In addition, the application of attack on the SBIN is simulated, and results indicate the validity and effectiveness of the proposed C-TVG and C-TVG based complexity analysis for the SBIN.

History

Pagination

1-6

Location

Kuala Lumpur, Malaysia

Start date

2016-05-22

End date

2016-05-27

ISSN

1550-3607

ISBN-13

9781479966646

Language

eng

Publication classification

E Conference publication, E1 Full written paper - refereed

Copyright notice

2016, IEEE

Title of proceedings

ICC 2016 : Proceedings of the 2016 IEEE International Conference on Communications

Event

IEEE Communications. Conference (2016 : Kuala Lumper, Malaysia)

Publisher

IEEE

Place of publication

Piscataway, N. J.

Series

IEEE Conference