Traj-Q-GPSR: A Trajectory-Informed and Q-Learning Enhanced GPSR Protocol for Mission-Oriented FANETs

Traj-Q-GPSR: A Trajectory-Informed and Q-Learning Enhanced GPSR Protocol for Mission-Oriented FANETs

Routing in flying ad hoc networks (FANETs) is hindered by high mobility, trajectory-induced topology dynamics, and energy constraints. Conventional topology-based or position-based protocols often fail due to stale link information and limited neighbor awareness. This paper proposes a trajectory-inf...

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Bibliographic Details
Main Authors: Mingwei Wu, Bo Jiang, Siji Chen, Hong Xu, Tao Pang, Mingke Gao, Fei Xia
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Drones
Subjects:
FANET
routing protocol
trajectory knowledge
Q-learning
Online Access:https://www.mdpi.com/2504-446X/9/7/489
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