Abstract

Data collected from a solar car is monitored in real-time, which allows for intelligent decision making, efficient debugging, and high-quality testing for solar car teams. This paper compares three databases (MySQL, PostgreSQL, and MongoDB) to determine the optimal database system that should be used at solar car competitions. Each database system was tested using simulated solar car data to measure read and write speeds, and quality of performance on a low-power computer. Data were analyzed and displayed with custom interfaces to improve the user experience at solar car competitions.

Meeting Name

2019 International Telemetering Conference (2019: Oct. 21-24, Las Vegas, NV)

Department(s)

Electrical and Computer Engineering

Keywords and Phrases

MongoDB; MySQL; PostgreSQL; Solar Car

International Standard Book Number (ISBN)

978-171380188-7

International Standard Serial Number (ISSN)

0884-5123

Document Type

Article - Conference proceedings

Document Version

Final Version

File Type

text

Language(s)

English

Rights

© 2019 International Foundation for Telemetering, All rights reserved.

Publication Date

01 Jan 2019

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