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Permanent link (DOI): https://doi.org/10.7939/R3Q63K

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Base Station Positioning and Relocation in Wireless Sensor Networks Open Access

Descriptions

Other title
Subject/Keyword
Wireless Sensor Networks
Topology Control
Power Efficiency
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Dehleh Hossein Zadeh, Parisa
Supervisor and department
Christian Schlegel (Computing Science)
Mike H. MacGregor (Computing Science)
Examining committee member and department
Marek Reformat (Electrical and Computer Engineering)
Mojgan Daneshmand (Electrical and Computer Engineering)
Department
Department of Electrical and Computer Engineering
Specialization

Date accepted
2010-09-23T21:38:55Z
Graduation date
2010-11
Degree
Master of Science
Degree level
Master's
Abstract
Base station (BS) positioning is considered an effective method to improve the performance of a Wireless Sensor Network (WSN). The goal of this dissertation is to minimize total energy consumption and to prolong lifetime of a WSN. First, the idea of the BS positioning in WSNs through our exhaustive search algorithm is evaluated; where it is shown that the BS position has an undeniable effect on the energy efficiency and lifespan of a WSN. Then, a metric-aware optimal BS positioning and relocation mechanism for WSNs is proposed. This technique locates the BS with respect to the available energy resources and the amount of traffic travelling through the sensor nodes at the time. Moreover, a BS relocation technique is presented in response to the dynamic environment that the sensor nodes operate in. Specifically, two optimization strategies based on the value of the path loss exponent are analyzed as weighted linear or nonlinear least squares minimization problems. Lastly, a distributed algorithm is proposed that can effectively handle the required computation by exploiting the nodes’ cooperation. The simulation results demonstrate that the proposed BS positioning and relocation method can significantly improve the lifespan and energy efficiency in WSNs.
Language
English
DOI
doi:10.7939/R3Q63K
Rights
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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