A Survey on Applications of Reinforcement Learning in Flying Ad-Hoc Networks

A Survey on Applications of Reinforcement Learning in Flying Ad-Hoc Networks

Flying ad-hoc networks (FANET) are one of the most important branches of wireless ad-hoc networks, consisting of multiple unmanned air vehicles (UAVs) performing assigned tasks and communicating with each other. Nowadays FANETs are being used for commercial and civilian applications such as handling...

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Bibliographic Details
Main Authors: Sifat Rezwan, Wooyeol Choi
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Electronics
Subjects:
flying Ad-hoc network
reinforcement learning
routing protocol
flight trajectory
unmanned air vehicles
Online Access:https://www.mdpi.com/2079-9292/10/4/449

Internet

https://www.mdpi.com/2079-9292/10/4/449

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