About: Connectivity-Based Self-Localization in WSNs

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Efficient localization methods are among the major challenges in wireless sensor networks today. In this paper, we present our so-called connectivity based approach, i.e, based on local connectivity information, to tackle this problem. At first the method fragments the network into larger groups labeled as packs. Based on the mutual connectivity relations with their surrounding packs, we identify border nodes as well as the central node. As this first approach requires some a-priori knowledge on the network topology, we also present a novel segment-based fragmentation method to estimate the central pack of the network as well as detecting so-called corner packs without any a-priori knowledge. Based on these detected points, the network is fragmented into a set of even larger elements, so-called segments built on top of the packs, supporting even more localization information as they all reach the central node. Efficient localization methods are among the major challenges in wireless sensor networks today. In this paper, we present our so-called connectivity based approach, i.e, based on local connectivity information, to tackle this problem. At first the method fragments the network into larger groups labeled as packs. Based on the mutual connectivity relations with their surrounding packs, we identify border nodes as well as the central node. As this first approach requires some a-priori knowledge on the network topology, we also present a novel segment-based fragmentation method to estimate the central pack of the network as well as detecting so-called corner packs without any a-priori knowledge. Based on these detected points, the network is fragmented into a set of even larger elements, so-called segments built on top of the packs, supporting even more localization information as they all reach the central node. (en)
Title	Connectivity-Based Self-Localization in WSNs Connectivity-Based Self-Localization in WSNs (en)
skos:prefLabel	Connectivity-Based Self-Localization in WSNs Connectivity-Based Self-Localization in WSNs (en)
skos:notation	RIV/00216305:26220/13:PU110519!RIV15-MSM-26220___
http://linked.open...avai/riv/aktivita	S
http://linked.open...avai/riv/aktivity	S
http://linked.open...iv/cisloPeriodika	3
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Kenyeres, Martin
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta elektrotechniky a komunikačních technologií
http://linked.open...dnocenehoVysledku	66741
http://linked.open...ai/riv/idVysledku	RIV/00216305:26220/13:PU110519
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	WSN, distributed algorithms, border nodes, virtual coordinates (en)
http://linked.open.../riv/klicoveSlovo	WSN border nodes distributed algorithms virtual coordinates
http://linked.open...odStatuVydavatele	CZ - Česká republika
http://linked.open...ontrolniKodProRIV	[692E9917D947]
http://linked.open...i/riv/nazevZdroje	Radioengineering
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...UplatneniVysledku	2013
http://linked.open...v/svazekPeriodika	22
http://linked.open...iv/tvurceVysledku	Rupp, Markus Kenyeres, Jozef Kenyeres, Martin Farkaš, Peter
http://linked.open...ain/vavai/riv/wos	000324900200020
issn	1210-2512
number of pages	10 (xsd:int)
http://localhost/t...ganizacniJednotka	26220

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