Adaptive Caching of Routes on LEO Satellite Networks

Low Earth Orbit (LEO) satellite networks are becoming increasingly significant in global communications due to their potential for providing high-speed internet access across remote and underserved regions. However, these networks face substantial challenges related to latency, bandwidth limitations, and frequent handovers due to the rapid movement of satellites. Caching emerges as a critical solution to mitigate these challenges, particularly in microservice architectures. By strategically storing frequently used routing paths within the network, caching reduces the need for repeated route calculations and data retrieval from distant sources, thus minimizing latency and alleviating bandwidth congestion. Additionally, effective caching strategies can enhance the overall quality of service by ensuring that optimal routes are readily available even during satellite handovers or network disruptions. This study explores the imperative role of caching the network paths in optimizing LEO satellite networks, highlighting its benefits in improving data routing efficiency, reducing latency, and enhancing user experience in the rapidly evolving landscape of global satellite communications.