A novel Q-learning-based routing scheme using an intelligent filtering algorithm for flying ad hoc networks (FANETs)-Reference-Cited by-同舟云学术

A novel Q-learning-based routing scheme using an intelligent filtering algorithm for flying ad hoc networks (FANETs)

Published:2023-12 Issue:10 Volume:35 Page:101817
ISSN:1319-1578
Container-title:Journal of King Saud University - Computer and Information Sciences
language:en
Short-container-title:Journal of King Saud University - Computer and Information Sciences

Author:

Hosseinzadeh Mehdi,Ali Saqib,Ionescu-Feleaga Liliana,Ionescu Bogdan-Stefan^ORCID,Yousefpoor Mohammad Sadegh,Yousefpoor Efat,Ahmed Omed Hassan,Rahmani Amir Masoud,Mehmood Asif

Publisher

Elsevier BV

Subject

General Computer Science

Reference29 articles.

1. Survey on Q-learning-based position-aware routing protocols in flying Ad Hoc networks;Alam;Electronics,2022

2. Q-learning-based routing inspired by adaptive flocking control for collaborative unmanned aerial vehicle swarms;Alam;Veh. Commun.,2023

3. A Q-learning-based topology-aware routing protocol for flying Ad Hoc networks;Arafat;IEEE Internet Things J.,2021

4. Optimized routing of UAVs using bio-inspired algorithm in FANET: A systematic review;Beegum;IEEE Access,2023

5. Q-learning driven routing for aeronautical Ad-Hoc networks;Bilen;Pervasive Mob. Comput.,2022

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