Intelligent Driver Mobility Model and Traffic Pattern Generation based Optimization of Reactive Protocols for Vehicular Ad-hoc Networks

Abstract

Vehicular Ad-hoc Network (VANET) is the special type of MANET (Mobile Ad Hoc Network) where the mobile nodes are vehicles that move on roads at very high speed following traffic rules; they provide communication between vehicle and vehicle (V2V) and Vehicle and Road side infrastructural unit (V 2 I). A number of mobility models have been presented and their impact on the performance on the routing protocols has been tested by the researchers. In this paper vehicle to vehicle communication is analysed by integrating clustering of different areas and traffic lights into the Intelligent Driver Model with Intersection Management (IDM-IM). The performance of above model using AODV and AOMDV protocols with different traffic patterns is evaluated using VanetMobisim and NS-2.