Date of Award
6-5-2022
Document Type
Thesis
Publisher
Santa Clara : Santa Clara University, 2022.
Department
Computer Science and Engineering
First Advisor
Behnam Dezfouli
Abstract
Many WiFi-based IoT (Internet of Things) devices rely on limited energy resources such as batteries or energy harvesting. Although monitoring and studying the energy consumption of these devices is essential, the use of external, hardware-based energy measurement tools is costly, non-scalable, and introduces many challenges regarding the connectivity of such tools with devices. In this thesis, we propose EMT, a novel tool to collect, analyze, and monitor the power cycles of IoT devices without the need for any external tools. The basic idea is to modify the WiFi Access Point's software to keep track of the power status of devices reported in packets. EMT also includes back-end and front-end components for data storage, analysis, and visualization. We demonstrate the effectiveness and features of EMT via empirical evaluations.
Recommended Citation
Chawla, Aastha; Goyalia, Sreya; and Kannan, Nidusha, "EMT: Software-based Energy Management Tool for WiFi IoT Devices" (2022). Computer Science and Engineering Senior Theses. 227.
https://scholarcommons.scu.edu/cseng_senior/227