MSc Thesis Proposal Announcement by Caitlin Facchina: "Adaptive Transmission Power Level with Vehicle Speed Approximation of Density for VANET Congestion Control"

Friday, September 27, 2019 - 10:30 to 12:30



The School of Computer Science is pleased to present…



MSc Thesis Proposal by: 

Caitlin Facchina
Date: Friday September 27, 2019
Time:  10:30 am – 12:30pm
Location: Lambton Tower, 3105



Vehicles travelling and communicating with each other and infrastructure is the basis of the future of vehicular transportation. There are many possible applications of communication in a vehicular network. One of the more important applications is for safety. Safety messages exchanged between vehicles can possibly be life-saving. However, if such messages are not received in a timely or reliable manner, the safety application’s effectiveness could suffer.  As such, congestion control is a popular topic in vehicular networks. Various methods of controlling the message transmission rate and power have been explored to-date.
In this thesis we propose an algorithm which manipulates the transmission power based on a density estimation from the vehicle’s driving speed, and compare it to methods observing only speed, only density, or other factors. Our goal is to reduce packet loss, and inter-packet delay while increasing packet reception.

Thesis Committee: 

Internal Reader: Dr. Christie Ezeife
External Reader: Dr. William Anderson
Advisor: Dr. Arunita Jaekel


MSc Thesis Proposal Announcement

5113 Lambton Tower, 401 Sunset Avenue, Windsor ON, N9B 3P4, (519)253-3000 Ext. 3716