Date of Award

1-1-2014

Document Type

Dissertation

Degree Name

Ph.D.

Organizational Unit

Daniel Felix Ritchie School of Engineering and Computer Science

First Advisor

Kimon P. Valavanis, Ph.D.

Second Advisor

Alvaro Arias

Third Advisor

Jason Zhang

Fourth Advisor

Matthew Rutherford

Fifth Advisor

Robert Whitman

Keywords

Error analysis, Error modeling, Localization, Wireless sensor network

Abstract

Wireless sensor networks (WSNs) have shown promise in a broad range of applications. One of the primary challenges in leveraging WSNs lies in gathering accurate position information for the deployed sensors while minimizing power cost. In this research, detailed background research is discussed regarding existing methods and assumptions of modeling methods and processes for estimating sensor positions. Several novel localization methods are developed by applying rigorous mathematical and statistical principles, which exploit constraining properties of the physical problem in order to produce improved location estimates. These methods are suitable for one-, two-, and three-dimensional position estimation in ascending order of difficulty and complexity. Unlike many previously existing methods, the techniques presented in this dissertation utilize practical, realistic assumptions and are progressively designed to mitigate incrementally discovered limitations. The design and results of a developed multiple-layered simulation environment are also presented that model and characterize the developed methods. The approach, developed methodologies, and software infrastructure presented in this dissertation provide a framework for future endeavors within the field of wireless sensor networks.

Publication Statement

Copyright is held by the author. User is responsible for all copyright compliance.

Rights Holder

Omar Ali Zargelin

Provenance

Received from ProQuest

File Format

application/pdf

Language

en

File Size

163 p.

Discipline

Electrical Engineering

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