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Adaptive Power Level for DSRC Congestion Control

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  • Mon, 02/12/2018 - 3:30pm - 5:30pm

Adaptive Power Level for DSRC Congestion Control

MSc Thesis Defense by:

Maan Joseph

Date:  Monday, February 12, 2018
Time:  3:00 pm – 5:30 pm
Location: 3105, Lambton Tower

Abstract: Vehicular industries and researchers have invested efforts to reduce avoidable accidents through the means of Vehicle to Vehicle (V2V) wireless communication using Vehicular Ad Hoc Networks (VANETs) through the periodic exchange of Basic Safety Messages (BSMs). The transmission rate of BSMs is defined by IEEE 1609 to be 10Hz. With a high vehicular density, Network Congestion can quickly arise in the 5.9GHz spectrum, rendering the system as unreliable because safety messages are not delivered on time. Researchers have focused on altering the rate of transmission and/or power of transmission in congestion control algorithms. The rate of transmission dictates how many messages each vehicle sends per second. Further, the transmission power dictates how far each message travels; it is known that messages transmitted with higher power will reach further distances. Based on that, our algorithm performs two operations to mitigate channel congestion; a) we send a number of low powered packets based on the node’s velocity, the higher the velocity then the higher transmission power, followed by a high powered packet to maintain awareness for distant vehicles, b) we increase the power of transmission in a cyclic fashion. By doing so, we can maintain a necessary level of awareness for closer vehicles, while sacrificing some awareness for distant ones. The goal is to provide adequate awareness for all vehicles, while reducing the overall congestion of the wireless channel.

Thesis Committee:
Internal Reader: Dr. Stephanos Mavromoustakos    
External Reader:  Dr. Animesh Sarker
Advisor:  Dr. Arunita Jaekel, Dr. Robert Kent
Chair:  Dr. Imran Ahmad

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