Access Type

Open Access Thesis

Date of Award

January 2013

Degree Type


Degree Name



Computer Science

First Advisor

Hongwei Zhang


Inter vehicle communication has emerged as an important area of research. With a rapid evolution of social networks, people are constantly looking for social interactions in all types of mobile environment. In this Thesis, we propose a voice chat model for Vehicle-to-Vehicle (V2V) communication that mimics a real-world group talk scenario, and measure its performance using Flood and Scalable broadcast (SBA) protocols. To evaluate the performance of the voice chat, we use different parameters such as group size, network density, transmission range and hop counts to show that our voice chat application is highly feasible in VANET environment. Furthermore, we perform a thorough comparison of Flood and SBA broadcast protocols throughout our simulation. Contrary to the performance of SBA in low speed ad-hoc networks, we show that the Flood broadcast algorithm has better content delivery than SBA in all scenarios that we tested. We implement our model using the NS2 network simulator using a realistic vehicular trace that depicts the movement of vehicles in the I-75S freeway from Detroit to Toledo.