About: Optimization of Boundary Recognition Algorithms for Wireless Sensor Network Applications

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Optimization of Boundary Recognition Algorithms for Wireless Sensor Network Applications Goto Sponge NotDistinct Permalink

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

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Recognition of network boundaries in wireless sensor network (WSN) applications is crucial from two reasons. First, a knowledge of boundary nodes can help to increase a security performance of sensor network. And second it can significantly contributes to the energy conservation of inner nodes that can be switched into the sleeping modes during no activity is presented on the network boundaries. Furthermore, the knowledge of boundary nodes is necessary condition for some localization algorithms applied into the WSN environment. We proposed two novel algorithms referred to as BRC and BRBC and compare their recognition efficiency with three know related algorithms. The results of simulations showed that all algorithms achieved high ratio of success detections, however it is shown that only the novel algorithms achieved the low ratio of the false detections. Recognition of network boundaries in wireless sensor network (WSN) applications is crucial from two reasons. First, a knowledge of boundary nodes can help to increase a security performance of sensor network. And second it can significantly contributes to the energy conservation of inner nodes that can be switched into the sleeping modes during no activity is presented on the network boundaries. Furthermore, the knowledge of boundary nodes is necessary condition for some localization algorithms applied into the WSN environment. We proposed two novel algorithms referred to as BRC and BRBC and compare their recognition efficiency with three know related algorithms. The results of simulations showed that all algorithms achieved high ratio of success detections, however it is shown that only the novel algorithms achieved the low ratio of the false detections. (en)
Title	Optimization of Boundary Recognition Algorithms for Wireless Sensor Network Applications Optimization of Boundary Recognition Algorithms for Wireless Sensor Network Applications (en)
skos:prefLabel	Optimization of Boundary Recognition Algorithms for Wireless Sensor Network Applications Optimization of Boundary Recognition Algorithms for Wireless Sensor Network Applications (en)
skos:notation	RIV/00216305:26220/11:PU93581!RIV12-MSM-26220___
http://linked.open...avai/predkladatel	Fakulta elektrotechniky a komunikačních technologií
http://linked.open...avai/riv/aktivita	P S Z
http://linked.open...avai/riv/aktivity	P(FR-TI2/571), S, Z(MSM0021630513)
http://linked.open...vai/riv/dodaniDat	2012
http://linked.open...aciTvurceVysledku	Šimek, Milan Morávek, Patrik Bocek, Jan
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
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	218738
http://linked.open...ai/riv/idVysledku	RIV/00216305:26220/11:PU93581
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	wireless sensor networks, boundary recognition, optimization, algorithm, false detections,network periphery, simulation, Matlab (en)
http://linked.open.../riv/klicoveSlovo	boundary recognition false detections network periphery Matlab optimization simulation wireless sensor networks algorithm
http://linked.open...ontrolniKodProRIV	[D44C538145ED]
http://linked.open...v/mistoKonaniAkce	Budapest
http://linked.open...i/riv/mistoVydani	Neuveden
http://linked.open...i/riv/nazevZdroje	In Proceeding of TSP 2011
http://linked.open...in/vavai/riv/obor	BD
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	*Adaptable Wireless Sensor Networks with Data Visualization for Crisis Management
http://linked.open...UplatneniVysledku	2011
http://linked.open...iv/tvurceVysledku	Morávek, Patrik Šimek, Milan Bocek, Jan
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2011-08-18 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Advanced Electronic Communication Systems and Technologies (ELCOM)
number of pages	6 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Neuveden
https://schema.org/isbn	978-1-4577-1409-2
http://localhost/t...ganizacniJednotka	26220
is http://linked.open...avai/riv/vysledek of	Optimization of Boundary Recognition Algorithms for Wireless Sensor Network Applications Optimization of Boundary Recognition Algorithms for Wireless Sensor Network Applications

Faceted Search & Find service v1.16.116 as of Feb 22 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3239 as of Feb 22 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 67 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software