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

Wednesday, January 22, 2020 - 10:00 to 12:00

SCHOOL OF COMPUTER SCIENCE

The School of Computer Science is pleased to present…

 

MSc Thesis Defense by:  Caitlin Facchina

 
Date: Wednesday January 22, 2020
 
Time:  10:00am - 12:00pm
 
Location: Essex Hall, 109
 

Abstract:

 
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, a safety application’s effectiveness could suffer.  As such, network 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 derived from the vehicle’s driving speed, and compare it to methods observing only speed, only density, or other factors. Analysis of the results was done through simulation software. Results showed that the proposed algorithm reduced symptoms of channel congestion at least as effectively as the related density-based algorithm, and much better than using no congestion control algorithm at all. This thesis also adds “relevance” as a new measurement of performance by observing the proportion of packets received from certain distances at each vehicle.
 

Thesis Committee:

 
Internal Reader: Dr. C. Ezeife     
 
External Reader: Dr. W. Anderson           
 
Advisor: Dr. A. Jaekel
 
Chair: Dr. Lu
 

 MSc Thesis Defense Announcement

 

5113 Lambton Tower 401 Sunset Ave. Windsor ON, N9B 3P4 (519) 253-3000 Ext. 3716 csgradinfo@uwindsor.ca