Degree Type

Dissertation

Date of Award

2019

Degree Name

Doctor of Philosophy

Department

Electrical and Computer Engineering

Major

Wind Energy Science, Engineering, and Policy; Computer Engineering

First Advisor

Daji Qiao

Second Advisor

Halil Ceylan

Abstract

The Internet of Things (IoT) has shown promise as an enabling technology for a wide variety of applications, from smart homes to infrastructure monitoring and management. However, a number of challenges remain before the grand vision of an everything-sensed, everything-connected world can be achieved. One of these challenges is the energy problem: how can embedded, networked sensor devices be sustainably powered over the lifetime of an application? To that end, this dissertation focuses on reducing energy consumption of communication protocols in wireless sensor networks and the IoT. The motivating application is wind energy infrastructure monitoring and management, or "smart" wind turbines. A variety of approaches to low-energy protocol design are studied. The result is a family of low-energy communication protocols, including one specifically designed for nodes deployed on wind turbine blades. This dissertation also presents background information on monitoring and management of wind turbines, and a vision of how the proposed protocols could be integrated and deployed to enable smart wind turbine applications.

Copyright Owner

Mathew Lee Wymore

Language

en

File Format

application/pdf

File Size

180 pages

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