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Cooperative Clustering Techniques Applied to Contact Graph RoutingRouting in the space internet has to face many unique challenges - from unplanned disconnections and interruptions to predictable intermittent connectivity due to high network mobility and long propagation delays. NASA’s current approach to such routing is Contact Graph Routing (CGR), using a graph formed of prescheduled communication contacts to compute routes through the network. While this approach manages to tackle issues of connectivity and propagation delays, it is a global approach that requires continuous knowledge of the entire network. In a potential future Solar Space Internet (SSI) such an approach on its own cannot scale to large networks with thousands of members. In this presentation we propose clustering as a solution to CGR scalability. Clustering has been used in many networking problems as a way to subdivide the network and allow for localized routing and better scalability. Using techniques from graph theory and game theory, we explore various existing clustering algorithms and adapt them to the Contact Graph Routing setting. Finally, we propose a way to combine multiple algorithms to create a Delay Tolerant Clustering Protocol.
Document ID
20220014967
Acquisition Source
Glenn Research Center
Document Type
Presentation
Authors
Yael Kirkpatrick
(Massachusetts Institute of Technology Cambridge, Massachusetts, United States)
Rachel Dudukovich
(Glenn Research Center Cleveland, Ohio, United States)
Bob Short
(Glenn Research Center Cleveland, Ohio, United States)
Date Acquired
October 4, 2022
Subject Category
Space Communications, Spacecraft Communications, Command And Tracking
Meeting Information
Meeting: 2022 Space-Terrestrial Internetworking Workshop
Location: virtual
Country: US
Start Date: October 12, 2022
End Date: October 14, 2022
Sponsors: Institute of Electrical and Electronics Engineers
Funding Number(s)
WBS: 278371.01.06
CONTRACT_GRANT: 80GRC019D0001
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
Single Expert
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