A Survey on Applications of Reinforcement Learning in Flying Ad-Hoc Networks
| Autor: | Sifat Rezwan, Wooyeol Choi |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Routing protocol
reinforcement learning Computer Networks and Communications Computer science Wireless ad hoc network flying Ad-hoc network lcsh:TK7800-8360 02 engineering and technology Adaptive routing routing protocol flight trajectory 0203 mechanical engineering 0202 electrical engineering electronic engineering information engineering Reinforcement learning Wireless Electrical and Electronic Engineering unmanned air vehicles business.industry lcsh:Electronics 020302 automobile design & engineering 020206 networking & telecommunications Traffic congestion Hardware and Architecture Control and Systems Engineering Signal Processing business Computer network |
| Zdroj: | Electronics, Vol 10, Iss 449, p 449 (2021) |
| ISSN: | 2079-9292 |
| Popis: | 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 traffic congestion, remote data collection, remote sensing, network relaying, and delivering products. However, there are some major challenges, such as adaptive routing protocols, flight trajectory selection, energy limitations, charging, and autonomous deployment that need to be addressed in FANETs. Several researchers have been working for the last few years to resolve these problems. The main obstacles are the high mobility and unpredictable changes in the topology of FANETs. Hence, many researchers have introduced reinforcement learning (RL) algorithms in FANETs to overcome these shortcomings. In this study, we comprehensively surveyed and qualitatively compared the applications of RL in different scenarios of FANETs such as routing protocol, flight trajectory selection, relaying, and charging. We also discuss open research issues that can provide researchers with clear and direct insights for further research. |
| Databáze: | OpenAIRE |
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