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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Series: | EURASIP Journal on Wireless Communications and Networking |
Online Access: | http://jwcn.eurasipjournals.com/content/2010/567040 |
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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 |
work_keys_str_mv |
AT laurendeauchristine centroidlocalizationofuncooperativenodesinwirelessnetworksusingarelativespanweightingmethod AT barbeaumichel centroidlocalizationofuncooperativenodesinwirelessnetworksusingarelativespanweightingmethod |
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