Centroid Localization of Uncooperative Nodes in Wireless Networks Using a Relative Span Weighting Method

<p/> <p>Increasingly ubiquitous wireless technologies require novel localization techniques to pinpoint the position of an uncooperative node, whether the target is a malicious device engaging in a security exploit or a low-battery handset in the middle of a critical emergency. Such scen...

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Main Authors: Laurendeau Christine, Barbeau Michel
Format: Article
Language:English
Published: SpringerOpen 2010-01-01
Series:EURASIP Journal on Wireless Communications and Networking
Online Access:http://jwcn.eurasipjournals.com/content/2010/567040
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spelling doaj-b16f6537052149d48dd1a7aecb3c727a2020-11-24T23:27:17ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14721687-14992010-01-0120101567040Centroid Localization of Uncooperative Nodes in Wireless Networks Using a Relative Span Weighting MethodLaurendeau ChristineBarbeau Michel<p/> <p>Increasingly ubiquitous wireless technologies require novel localization techniques to pinpoint the position of an uncooperative node, whether the target is a malicious device engaging in a security exploit or a low-battery handset in the middle of a critical emergency. Such scenarios necessitate that a radio signal source be localized by other network nodes efficiently, using minimal information. We propose two new algorithms for estimating the position of an uncooperative transmitter, based on the received signal strength (RSS) of a single target message at a set of receivers whose coordinates are known. As an extension to the concept of centroid localization, our mechanisms weigh each receiver's coordinates based on the message's relative RSS at that receiver, with respect to the span of RSS values over all receivers. The weights may decrease from the highest RSS receiver either linearly or exponentially. Our simulation results demonstrate that for all but the most sparsely populated wireless networks, our exponentially weighted mechanism localizes a target node within the regulations stipulated for emergency services location accuracy.</p>http://jwcn.eurasipjournals.com/content/2010/567040
collection DOAJ
language English
format Article
sources DOAJ
author Laurendeau Christine
Barbeau Michel
spellingShingle Laurendeau Christine
Barbeau Michel
Centroid Localization of Uncooperative Nodes in Wireless Networks Using a Relative Span Weighting Method
EURASIP Journal on Wireless Communications and Networking
author_facet Laurendeau Christine
Barbeau Michel
author_sort Laurendeau Christine
title Centroid Localization of Uncooperative Nodes in Wireless Networks Using a Relative Span Weighting Method
title_short Centroid Localization of Uncooperative Nodes in Wireless Networks Using a Relative Span Weighting Method
title_full Centroid Localization of Uncooperative Nodes in Wireless Networks Using a Relative Span Weighting Method
title_fullStr Centroid Localization of Uncooperative Nodes in Wireless Networks Using a Relative Span Weighting Method
title_full_unstemmed Centroid Localization of Uncooperative Nodes in Wireless Networks Using a Relative Span Weighting Method
title_sort centroid localization of uncooperative nodes in wireless networks using a relative span weighting method
publisher SpringerOpen
series EURASIP Journal on Wireless Communications and Networking
issn 1687-1472
1687-1499
publishDate 2010-01-01
description <p/> <p>Increasingly ubiquitous wireless technologies require novel localization techniques to pinpoint the position of an uncooperative node, whether the target is a malicious device engaging in a security exploit or a low-battery handset in the middle of a critical emergency. Such scenarios necessitate that a radio signal source be localized by other network nodes efficiently, using minimal information. We propose two new algorithms for estimating the position of an uncooperative transmitter, based on the received signal strength (RSS) of a single target message at a set of receivers whose coordinates are known. As an extension to the concept of centroid localization, our mechanisms weigh each receiver's coordinates based on the message's relative RSS at that receiver, with respect to the span of RSS values over all receivers. The weights may decrease from the highest RSS receiver either linearly or exponentially. Our simulation results demonstrate that for all but the most sparsely populated wireless networks, our exponentially weighted mechanism localizes a target node within the regulations stipulated for emergency services location accuracy.</p>
url http://jwcn.eurasipjournals.com/content/2010/567040
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