Title :
Fuzzy Road Situation Model Optimization Routing (FRSMOR) in Vehicular Ad-hoc Network (VANET)
Author :
Chehung Lin ; Fangyan Dong ; Hirota, Kaoru
Author_Institution :
Dept. of Comput. Intell. & Syst. Sci., Tokyo Inst. of Technol., Yokohama, Japan
Abstract :
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.
Keywords :
fuzzy reasoning; routing protocols; telecommunication computing; vehicular ad hoc networks; FRSMOR; GyTAR routing protocols; NS2 simulation tool; RTRP routing protocols; TraNS simulation tool; VANET; control overhead; cooperative traffic monitoring system; fuzzy inference; fuzzy road situation model optimization routing; intelligent transportation systems; packet forwarding strategy; transmission path; vehicle mobility traces; vehicular ad-hoc network; wireless data packet transmission; VANET; ad-hoc netrokrk; fuzzy inference; optimization; routing;
Conference_Titel :
Soft Computing and Intelligent Systems (SCIS) and 13th International Symposium on Advanced Intelligent Systems (ISIS), 2012 Joint 6th International Conference on
Conference_Location :
Kobe
Print_ISBN :
978-1-4673-2742-8
DOI :
10.1109/SCIS-ISIS.2012.6505086
