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Advisory Committee Chair

Thomas Jannett

Advisory Committee Members

Gary Grimes

Gregg Vaughn

Document Type

Thesis

Date of Award

2006

Degree Name by School

Master of Science in Electrical Engineering (MSEE) School of Engineering

Abstract

The objective of this thesis is to model the communication and computation resources of the sensor netork, develop a framework for lifetime estimation and performance evluation of the network, and explore routing schemes so as to extend the functional lifetime of both the individual nodes and the entire network. The sensor network is severly constrained by limited resources, so, energy efficiency is the most important factor in designing the network. Designing an efficient routing protocol in a sensor network is challenging due to various factors, such as limited resources, concentration of load to a limited portion of the network, and routing of redundant information. For the purpose of studying various exemplary routing protocols, a resource-based model of the sensor network has been developed in MATLAB employing an Object Oriented Programming (OOP) paradigm. The performances of different exemplary routing protocolcs under different target speeds and delays was simulated and compared in this work. A concept called localized optimization was introduced and simulated. The results demonstrate a significant improvement in the functional lifetime of the sensor network and a degradation of the tracking performance due to delays introduced in the system by the localized optimization algorithm.

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