Shortest Path Orbit Prediction for Resilient LEO Satellite Networks to Navigating the Cosmos

Abstract

TLow-Earth-Orbit (LEO) satellite networks have great potential to supplement terrestrial infrastructure by offering ultra-low latency and worldwide coverage. However, effective and resilient routing is a considerable challenge due to the frequent topology changes inherent in these networks. Existing methods, the use of terrestrial routing techniques such as OSPF, lead to persistent route convergence and extreme bandwidth consumption over inter-satellite links. To deal with these, this paper proposes OPSPF, a unique routing protocol for LEO satellite networks. OPSPF takes advantage of the constellation’s predictability by periodically calculating routes for the creation of instantaneous routing tables, which allows it to handle frequent changes in topology efffciently. Furthermore, Additionally, OPSPF presents a dynamic routing system that is available on-demand to manage erratic topology changes caused by link failures and recovery. The evaluation showed that compared to OSPF, OPSPF eliminated route gathered overhead during periodic topology changes and acquired a 55% reduction in communication overhead and an 85% deduction in route convergence time during uneven topology changes. This work showed an optimistic solution to improve the efffciency and stability of routing in LEO satellite networks, paving the way for enhanced performance and ffawless integration.