Performance of data aggregation for wireless sensor networks

This thesis focuses on three fundamental issues that concern data aggregation protocols for periodic data collection in sensor networks: <i>which</i> sensor nodes should report their data, <i>when</i> should they report it, and should they use <i>unicast</i> or &l...

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Main Author: Feng, Jie
Other Authors: Osgood, Nathaniel
Format: Others
Language:en
Published: University of Saskatchewan 2010
Subjects:
Online Access:http://library.usask.ca/theses/available/etd-06292010-135305/
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spelling ndltd-USASK-oai-usask.ca-etd-06292010-1353052013-01-08T16:34:31Z Performance of data aggregation for wireless sensor networks Feng, Jie wireless sensor networks data aggregation performance evaluation This thesis focuses on three fundamental issues that concern data aggregation protocols for periodic data collection in sensor networks: <i>which</i> sensor nodes should report their data, <i>when</i> should they report it, and should they use <i>unicast</i> or <i>broadcast</i> based protocols for this purpose. <p> The issue of when nodes should report their data is considered in the context of real-time monitoring applications. The first part of this thesis shows that asynchronous aggregation, in which the time of each nodes transmission is determined adaptively based on its local history of past packet receptions from its children, outperforms synchronous aggregation by providing lower delay for a given end-to-end loss rate. <p> Second, new broadcast-based aggregation protocols that minimize the number of packet transmissions, relying on multipath delivery rather than automatic repeat request for reliability, are designed and evaluated. The performance of broadcast-based aggregation is compared to that of unicast-based aggregation, in the context of both real-time and delay-tolerant data collection. <p> Finally, this thesis investigates the potential benefits of dynamically, rather than semi-statically, determining the set of nodes reporting their data, in the context of applications in which coverage of some monitored region is to be maintained. Unicast and broadcast-based coverage-preserving data aggregation protocols are designed and evaluated. The performance of the proposed protocols is compared to that of data collection protocols relying on node scheduling. Osgood, Nathaniel Spiteri, Raymond J. Cheston, Grant Daku, Brian Kunz, Thomas Makaroff, Dwight Eager, Derek University of Saskatchewan 2010-07-02 text application/pdf http://library.usask.ca/theses/available/etd-06292010-135305/ http://library.usask.ca/theses/available/etd-06292010-135305/ en unrestricted I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to University of Saskatchewan or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report.
collection NDLTD
language en
format Others
sources NDLTD
topic wireless sensor networks
data aggregation
performance evaluation
spellingShingle wireless sensor networks
data aggregation
performance evaluation
Feng, Jie
Performance of data aggregation for wireless sensor networks
description This thesis focuses on three fundamental issues that concern data aggregation protocols for periodic data collection in sensor networks: <i>which</i> sensor nodes should report their data, <i>when</i> should they report it, and should they use <i>unicast</i> or <i>broadcast</i> based protocols for this purpose. <p> The issue of when nodes should report their data is considered in the context of real-time monitoring applications. The first part of this thesis shows that asynchronous aggregation, in which the time of each nodes transmission is determined adaptively based on its local history of past packet receptions from its children, outperforms synchronous aggregation by providing lower delay for a given end-to-end loss rate. <p> Second, new broadcast-based aggregation protocols that minimize the number of packet transmissions, relying on multipath delivery rather than automatic repeat request for reliability, are designed and evaluated. The performance of broadcast-based aggregation is compared to that of unicast-based aggregation, in the context of both real-time and delay-tolerant data collection. <p> Finally, this thesis investigates the potential benefits of dynamically, rather than semi-statically, determining the set of nodes reporting their data, in the context of applications in which coverage of some monitored region is to be maintained. Unicast and broadcast-based coverage-preserving data aggregation protocols are designed and evaluated. The performance of the proposed protocols is compared to that of data collection protocols relying on node scheduling.
author2 Osgood, Nathaniel
author_facet Osgood, Nathaniel
Feng, Jie
author Feng, Jie
author_sort Feng, Jie
title Performance of data aggregation for wireless sensor networks
title_short Performance of data aggregation for wireless sensor networks
title_full Performance of data aggregation for wireless sensor networks
title_fullStr Performance of data aggregation for wireless sensor networks
title_full_unstemmed Performance of data aggregation for wireless sensor networks
title_sort performance of data aggregation for wireless sensor networks
publisher University of Saskatchewan
publishDate 2010
url http://library.usask.ca/theses/available/etd-06292010-135305/
work_keys_str_mv AT fengjie performanceofdataaggregationforwirelesssensornetworks
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