Date of Graduation
Fall 12-19-2023
Document Type
Thesis
Degree Name
Master of Computer and Information Science (MCIS)
Department
Computer Science
Thesis Chair
Dr. Izzat Alsmadi
Abstract
With public interest in automated vehicles as well as self-aware and responsive smart cities the demand for fast and efficient communication and computation will push our current infrastructure beyond its limits. Vehicular networks
(VANETs) look to solve this issue but suffer from extremely dynamic topologies
with unpredictable times and locations of high network and computational de-
minds from highly mobile units. This thesis looks into how current scholarly
works attempt resource management in VANETs and simulate VANETs with
cloud, edge, or mist computing architectures. The data of are compared and
discussed to drive a data-driven understanding and conversation of architecture
applicability when considering approaches. Chapter 2 discusses the current literature on resource management in VANETs. Chapter 3 reviews current Python-
based projects that focus on VANETs. Chapter 4 simulates a cloud, edge, and
mist computing deployment in a VANET using PureEdgeSim for comparison.
Recommended Citation
Trombly, Andrew and Alsmadi, Izzat, "How Cloud, Edge, and Mist computing affects resource management in VANETs" (2023). Masters Theses. 3.
https://digitalcommons.tamusa.edu/masters_theses/3
Included in
Computer and Systems Architecture Commons, Digital Communications and Networking Commons, Other Computer Engineering Commons