Fuzzy Road Situation Model Optimization Routing (FRSMOR) in Vehicular Ad-hoc Network (VANET)

被引：0
|
作者：
Lin, Chehung [1 ]
Dong, Fangyan [1 ]
Hirota, Kaoru [1 ]
机构：
[1] Tokyo Inst Technol, Dept Computat Intelligence & Syst Sci, Yokohama, Kanagawa, Japan
来源：
6TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS, AND THE 13TH INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS | 2012年
关键词：
routing; fuzzy inference; optimization; ad-hoc netrokrk; VANET;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A routing protocol, called Fuzzy Road Situation Model Optimization Routing (FRSMOR), is proposed for Vehicular Ad-hoc NETwork (VANET) to optimize the packet forwarding strategy by using fuzzy inference to model the road situation. It aims to optimize the packet forwarding strategy and modify the transmission path dynamically according to the road situation to decrease the control overhead and improve delivery ratio. The simulation tool NS2 and TraNS are used to simulate the real vehicle mobility traces and wireless data packet transmission and the results show that FRSMOR improves the delivery ratio 15% and decrease the control overhead 20% then other routing protocols, e.g. GyTAR and RTRP. Prospectively, the FRSMOR is planning to support Intelligent Transportation Systems applications such as co-operative traffic monitoring system.
引用
收藏
页码：532 / 537
页数：6
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