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: 

 

MSc Thesis Proposal Announcement