Using Mobility prediction to enhance network routing in LEO crosslink network
- Paper number
IAC-19,B2,1,6,x49275
- Author
Mr. William Su, United States, The Aerospace Corporation
- Year
2019
- Abstract
A large scale LEO crosslink network may consists of thousands of LEO satellites. Some of the challenges for routing protocols for such a large scale network include : 1. Minimize the disruption due to topological changes. 2. Minimize routing protocol overhead and reduce network thrashing. We propose to explore the idea of using prediction techniques for efficient routing on large scale LEO crosslink networks. The ideas is to use orbital or ephemeris data to perform predictive routing and compared the performance to traditional routing techniques. The goal of using predictive techniques for routing is to : 1. Minimize disruption of existing routes by switching of routes prior to link/route disruption 2. Keep routing protocol overhead low by minimizing amount of topology updates required. In this paper we will describe how our predictive routing mechanism works, and present some simulation results to analyze the performance improvement over traditional method of using our approach.
- Abstract document
- Manuscript document
IAC-19,B2,1,6,x49275.pdf (🔒 authorized access only).
To get the manuscript, please contact IAF Secretariat.