Presentation 2013-07-19
A Fuzzy Inference Intelligent Routing Protocol for Vehicular Ad Hoc Networks
Celimuge WU, Satoshi OHZAHATA, Toshihiko KATO,
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Abstract(in English) Due to vehicle movement, limited wireless resources and lossy feature of wireless channels, providing a reliable multi-hop communication in VANETs is particularly challenging. We present a VANET routing protocol which learns the optimal route by employing a fuzzy constraint Q-Learning algorithm. The protocol uses fuzzy logic to evaluate a wireless link is whether good or not by considering multiple metrics of signal strength, available bandwidth and relative vehicle movement. Based on the evaluation of each wireless link, the protocol learns the best route using the route request messages and hello messages. The protocol can achieve high packet delivery ratio and low end-to-end delay. We show the effectiveness of the protocol by using computer simulations.
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Keyword(in English) Vehicular ad hoc networks / routing protocols / fuzzy logic / Q-Learning
Paper # ASN2013-84
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Conference Date 2013/7/10(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Fuzzy Inference Intelligent Routing Protocol for Vehicular Ad Hoc Networks
Sub Title (in English)
Keyword(1) Vehicular ad hoc networks
Keyword(2) routing protocols
Keyword(3) fuzzy logic
Keyword(4) Q-Learning
1st Author's Name Celimuge WU
1st Author's Affiliation Graduate School of Information Systems, University of Electro-Communications()
2nd Author's Name Satoshi OHZAHATA
2nd Author's Affiliation Graduate School of Information Systems, University of Electro-Communications
3rd Author's Name Toshihiko KATO
3rd Author's Affiliation Graduate School of Information Systems, University of Electro-Communications
Date 2013-07-19
Paper # ASN2013-84
Volume (vol) vol.113
Number (no) 132
Page pp.pp.-
#Pages 6
Date of Issue