Date of Award
2018
Publication Type
Master Thesis
Degree Name
M.Sc.
Department
Computer Science
Keywords
dsrc; v2i; v2v; v2x; vanet; wave
Supervisor
Jaekel, Arunita
Supervisor
Kent, Robert
Rights
info:eu-repo/semantics/openAccess
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
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 10 Hz. With a high vehicular density, Network Congestion can quickly arise in the 5.9 GHz 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, then 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 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.
Recommended Citation
Joseph, Maan, "Adaptive Power Level for DSRC Congestion Control" (2018). Electronic Theses and Dissertations. 7366.
https://scholar.uwindsor.ca/etd/7366