OptiRoute LSTM: A New Framework for Efficient Predictive Inter-Satellite Routing

Satellite networks are one of the most important components that fulfill the world’s need for connectivity. To ensure that communication is efficient and reliable, robust routing algorithms are a must. Because, although it is true that certain routing characteristics may not be permanently and continuously flawless, a routing technique must effectively adapt to modifications in such network characteristics. The new routing method uses a Long Short-Term Memory (LSTM) model to manage dynamic metrics for Low Earth Orbit satellite networks. This LSTM model is aimed at predicting the optimal routing direction on the premise that a satellite is soon to be, by looking back through old satellite position data. Through simulation and analysis, the upgraded algorithm with LSTM prediction brought large profit in network efficiency, which includes lowering end-to-end delay (reduction of average packet life time) and raising throughput. These results underscore just how important is this research into satellite networks.

Authors

Institutions

Publication Details

Published
2024-11-28
DOI
https://doi.org/10.1109/comnetsat63286.2024.10862943
Primary Topic
Satellite Communication Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

OptiRoute LSTM: A New Framework for Efficient Predictive Inter-Satellite Routing

Pranathi Kunadi, Navrati Saxena, Abhishek Roy, Yash Bhamre
Satellite Communication Systems
article

OptiRoute LSTM: A New Framework for Efficient Predictive Inter-Satellite Routing

Pranathi Kunadi, Navrati Saxena, Abhishek Roy, Yash Bhamre
article en

Abstract

Satellite networks are one of the most important components that fulfill the world’s need for connectivity. To ensure that communication is efficient and reliable, robust routing algorithms are a must. Because, although it is true that certain routing characteristics may not be permanently and continuously flawless, a routing technique must effectively adapt to modifications in such network characteristics. The new routing method uses a Long Short-Term Memory (LSTM) model to manage dynamic metrics for Low Earth Orbit satellite networks. This LSTM model is aimed at predicting the optimal routing direction on the premise that a satellite is soon to be, by looking back through old satellite position data. Through simulation and analysis, the upgraded algorithm with LSTM prediction brought large profit in network efficiency, which includes lowering end-to-end delay (reduction of average packet life time) and raising throughput. These results underscore just how important is this research into satellite networks.

San Jose State University (US)
Openalex Percentile: Top 55%
Satellite Communication Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.