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Q-learning based Stepwise Routing Protocol for Multi-UAV Networks
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Publication Year
2021-04-13
Journal
3rd International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2021
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
3rd International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2021, pp.307-309
Keyword
Multi-UAV NetworkQ-learning based routingUnmanned aerial vehicle
Mesh Keyword
Ad hoc routing protocolCentralized controlComputational capabilityFrequent disconnectionIntelligent routingPacket delivery ratioRouting performanceWireless multi-hop network
All Science Classification Codes (ASJC)
Artificial IntelligenceComputer Networks and CommunicationsComputer Science ApplicationsInformation SystemsInformation Systems and Management
Abstract
A multi-UAV network is a wireless multi-hop network consisting of several Unmanned Aerial Vehicles (UAVs) that are supposed to communicate with a centralized control center. Due to high mobility, such a dynamic network faces frequent changes in network topology, resulting in poor wireless link quality and even frequent disconnection. UAVs' computational capability is also bound to a limited threshold. Therefore, it is important to design a routing protocol that works in a lightweight and adaptive manner. We propose an intelligent routing protocol for Multi-UAV Networks that ensure minimum hops to the destination and better link quality by employing the Q-learning technique. The performance of the proposed scheme was evaluated through the OPNET simulator. A preliminary result shows that it can improve the routing performance in terms of the end-To-end delivery and packet delivery ratio, compared to the de facto ad hoc routing protocol.
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/36685
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85105454244&origin=inward
DOI
https://doi.org/10.1109/icaiic51459.2021.9415265
Journal URL
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=9415178
Type
Conference
Funding
This work was supported by the Civil-Military Technology Cooperation Program in Republic of Korea ( 19-CM-TN-07 )
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Ko, Young-Bae고영배
Department of Software and Computer Engineering
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