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Permanent link (DOI): https://doi.org/10.7939/R3X70N

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Histogram and median queries in wireless sensor networks Open Access

Descriptions

Other title
Subject/Keyword
Histogram
Wireless Sensor Network
Distributed queries
Aggregate
Median
Optimization
Query
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Ammar, Khaled A.
Supervisor and department
Mario A. Nascimento (Computing Science)
Examining committee member and department
Janelle Harms (Computing Science)
Benoit Rivard (Earth and Atmospheric Sciences)
Department
Department of Computing Science
Specialization

Date accepted
2011-08-30T20:16:06Z
Graduation date
2011-11
Degree
Master of Science
Degree level
Master's
Abstract
Recently, Wireless Sensor Networks (WSNs) have been used in many monitoring applications, e.g., environment monitoring. A WSN consists of a set of nodes, each having one or more sensors to measure a phenomena. Nodes are connected to each other using wireless radio communications. Typically, there is at least one base station that functions as an interface between the monitored area and the end user. In many applications, users are interested in statistical summaries of the observed data, e.g., histograms reflecting the distribution of the collected values. In this thesis we propose two main contributions: (1) an efficient algorithm for answering Histogram queries in a WSN, and (2) efficient algorithms for answering snapshot and continuous Median queries in a WSN. While designing applications for the WSN, the main challenge is the battery life time. For WSN nodes, sending a message consumes a significantly higher amount of energy than processing information inside the node. Therefore, we design our proposed algorithms in order to minimize the energy consumption and/or transmission cost, i.e. number of sent bytes, and consequently extend its lifespan. Our experimental results, using synthetic and real datasets, show that our proposed solutions are indeed able to substantially extend the lifespan of the WSN when compared to previously proposed solutions.
Language
English
DOI
doi:10.7939/R3X70N
Rights
License granted by Khaled Ammar (khaled.ammar@gmail.com) on 2011-08-30T15:26:02Z (GMT): 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 the above terms. The author reserves all other publication and other rights in association with the copyright in the thesis, and except as herein 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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