Toward the Age in Forwarding: A Deep Reinforcement Learning Enabled Routing Mechanism for Large-Scale Satellite Networks via Spatial-Temporal Graph Neural Networks

In large-scale satellite networks, end-to-end data delivery confronts long propagation latency and dynamical connectivity, heavily challenging current routing strategies due to the time-changing topology. For the tasks with high timeliness requirements, especially, it will cause obviously low freshn...

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Bibliographic Details

Published in:	IEEE Transactions on Networking pp. 1 - 16
Main Authors:	Gao, Ronghao, Zhang, Bo, Zhang, Qinyu, Yang, Zhihua
Format:	Journal Article
Language:	English
Published:	IEEE 15.08.2025
Subjects:	age of information (AoI) Costs deep reinforcement learning (DRL) Feature extraction graph neural network (GNN) Graph neural networks Heuristic algorithms Information age Low earth orbit satellites Network topology Routing Satellite networks Satellites Topology
ISSN:	2998-4157, 2998-4157
Online Access:	Get full text
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