Evaluation of Message Dissemination Techniques in Vehicular Ad Hoc Networks using Node Movement in Real Map

In this paper, we have evaluated the performance of flooding and probabilistic flooding broadcast methods in a VANET using real city map. A comparative analysis between the performance of these methods with varying traffic density and nodes speed has been conducted. Here, we have considered real city maps extracted from US census TIGER database. Node movements are generated using Intelligent Driving Model for lane Changing (IDM_LC) through VanetMobiSim mobility generator. A different probability for message dissemination is considered for the probabilistic broadcast method to investigate an appropriate probability value that may give best results. Different node densities, Sparse, Intermediate and Dense are considered. The results obtained show that in dense traffic scenario probabilistic flooding method achieves maximum packet delivery ratio for a specific value of p (i.e. 0.1). In sparsely populated network, the PDR is low as compared to other traffic conditions. In a sparse traffic density both the method perform better at high node mobility. But in intermediate and dense traffic scenario performance of both the methods is better in low node mobility.