A Node Selection Strategy in Space-Air-Ground Information Networks: A Double Deep Q-Network Based on the Federated Learning Training Method

The Space-Air-Ground Information Network (SAGIN) provides extensive coverage, enabling global connectivity across a diverse array of sensors, devices, and objects. These devices generate large amounts of data that require advanced analytics and decision making using artificial intelligence technique...

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Bibliographic Details
Main Authors: Weidong Wang, Siqi Li, Jihao Zhang, Dan Shan, Guangwei Zhang, Xiang Gao
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/16/4/651