… Flying ad-hoc networks (FANET) are one of the most important branches of wireless ad-hoc
networks, … with other ad-hoc networks such as vehicular ad-hoc networks (VANETs), robot …

… In this paper, the reinforcement learning-based routing methods in FANET are surveyed …
classification of reinforcement learning-based routing algorithms in flying ad hoc networks. This …

… the state only under fuzzy logic but without reinforcement learning. In this case, every node
… but reinforcement learning. As we put forward above, the aim of reinforcement learning is to …

… This approach brings together the concept of flying ad hoc network (FANET) of UAVs which
… that use ML, RL, and FL in 5G and 6G networks we combined (“Machine learning” OR “…

… [27] In this paper, we deliver the definitions of our study on reinforcement learning-based …
flying ad hoc network routing techniques based on reinforcement learning. In the beginning, …

… Abstract—Flying ad-hoc network (FANET) is one of the applications of next-generation
wireless networks, including fifth generation (5G) networks. Due to the availability of high data …

… Another potential technique used in wireless ad hoc network routing problems and that
has … attention is machine learning. Machine learning allows ad hoc networks to learn from …

… • We propose a self-learning routing protocol based on reinforcement learning for FANETs
(RLSRP). It allows updating the local routing policies with the position information of UAVs …

… to use a set of cooperating UAVs organized as a Flying Ad-hoc Network (FANET) [6], to process
… and optimized for data-driven machine learning and artificial intelligence algorithms [10]. …

… Machine learning concepts are widely used to adapt to the … Q-learning [16] is a widely
used adaptive machine learning … ad hoc networks (MANETs) and vehicular ad hoc networks (…