A Fuzzy Inference Intelligent Routing Protocol for Vehicular Ad Hoc Networks
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概要
- 論文の詳細を見る
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.
- 一般社団法人電子情報通信学会の論文
- 2013-07-10
著者
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Wu Celimuge
Graduate School Of Information Systems University Of Electro-communications
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Kato Toshihiko
Graduate School Of Information Systems
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Ohzahata Satoshi
Graduate School Of Information Systems The University Of Electro-communications
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