… 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 …

… • 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 …

… 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 …

… reinforcement learning for routing in AANETs aiming at minimizing the end-to-end (E2E) delay.
Specifically, a deep Q-network … insufficient real flight data available for training and testing…

… the usage of some type of wireless ad hoc networks (WANETs) with dynamic nodes that …
ad hoc networks (MANETs), vehicular ad hoc networks (VANETs) and flying ad hoc networks (…

… Hassanalian, ‘‘Adaptive retransmission time out in flying ad-hoc network by LSTM
machine learning: Round trip time prediction,’’ in Proc. AIAA Scitech Forum, 2020, p. 0053. …

… 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]. …

Flying ad-hoc networks (FANETs) consisting of multiple Unmanned Aerial Vehicles (UAVs)
are widely used due to their flexibility and low cost. In scenarios such as crowdsensing and …