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Back-off Improvement by Using Q-learning in IEEE 802.11p Vehicular Network
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Publication Year
2020-10-21
Journal
International Conference on ICT Convergence
Publisher
IEEE Computer Society
Citation
International Conference on ICT Convergence, Vol.2020-October, pp.1819-1821
Keyword
Contention WindowQoSsResource AllocationVANETs
Mesh Keyword
Backoff algorithmsContention window sizeEfficient resource allocationResource informationTransmission of dataVehicular Adhoc Networks (VANETs)Wireless bandwidthWireless communications
All Science Classification Codes (ASJC)
Information SystemsComputer Networks and Communications
Abstract
The vehicular ad-hoc networks (VANETs) support wireless communication among moving vehicles, infrastructures as well as other devices. In VANETs, the problem of sharing the same channel is complex, which results in more packet collisions in resource allocation unless the resource information is unified for each vehicle. The process of resource allocation among vehicles must be optimized for efficiently using the possible wireless bandwidths and the successful configuration of VANETs. For efficient resource allocation, we apply Q-learning that allows many vehicles in a network, which can make the process of exchanging data among them more efficient. The policy of choosing contention window size can be learned, where a hybrid linear and exponential contention window size adjustment is considered. Vehicles learn in the process of maximizing successful transmission of data packets and minimizing bandwidth waste. Furthermore, the proposed algorithm performs better than existing back-off algorithms.
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/36595
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85098933148&origin=inward
DOI
https://doi.org/10.1109/ictc49870.2020.9289541
Journal URL
http://ieeexplore.ieee.org/xpl/conferences.jsp
Type
Conference
Funding
This study was conducted as a result of the research of the S W-oriented university project of the Ministry of Science and ICT and the Ministry of Information and Communication lP anning and Evaluation (2015-0-0008) and the National Res earch Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 201R1A2C10085 0).
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Choi, Youngjune Image
Choi, Youngjune최영준
Department of Software and Computer Engineering
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