Honors Theses
Date of Award
5-9-2019
Document Type
Undergraduate Thesis
Department
Management Information Systems
First Advisor
Brian Reithel
Relational Format
Dissertation/Thesis
Abstract
Water is one of the essential resources that we should be aware of conserving, but lawn sprinkler systems in Mississippi have inefficient resource management systems. During my fundamental research, I read an article about IoT (Internet of Things) and how important it will be in the future. Both of these topics inspired prototype research. In order to create the prototype, a Raspberry Pi, breadboard, keyboard, monitor, and cables were used. Using the Raspberry Pi, monitors, and keyboard, the software was developed in order to create a RESTFUL API gateway to connect to AWS (Amazon Web Service). In the AWS console, an AWS Lambda function was created to store data to AWS DynamoDB. Then, a breadboard and sensor were connected to the Raspberry Pi. When the sensor detects water, the data is transferred to the Raspberry Pi, and the Raspberry Pi sends the data to the AWS API Gateway. The API Gateway then sends the data to AWS Lambda, and the process continues from AWS Lambda to AWS DynamoDB. DynamoDB can display the type of sensor, date, IP address, user id, and eventid. This platform will make it easy to monitor energy efficiency and water waste.
Recommended Citation
Noh, Jin Hyeok, "Creating an Internet of Things Platform for Storing Smart Sensor Data Using Amazon Web Services" (2019). Honors Theses. 1050.
https://egrove.olemiss.edu/hon_thesis/1050
Accessibility Status
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