An Adaptive PSO-based sink node localization approach forwireless sensor networks

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86099064" target="_blank" >RIV/61989100:27240/16:86099064 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-319-29504-6_62" target="_blank" >http://dx.doi.org/10.1007/978-3-319-29504-6_62</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-29504-6_62" target="_blank" >10.1007/978-3-319-29504-6_62</a>

Jazyk výsledku

angličtina

Název v původním jazyce

An Adaptive PSO-based sink node localization approach forwireless sensor networks

Popis výsledku v původním jazyce

Localization in Wireless Sensor Networks (WSNs) is the process of estimating sensors' positions. Localization have been used for identifying: geographic routing, network coverage, network connectivity, object tracking, and other WSNs-based techniques. Many protocols have been proposed as solutions for the localization problem. However, still some protocols need more efforts such as; the Topology Control protocols (TC). These protocols seeking to reduce the number of active nodes/links without any prior knowledge about the nodes' physical positions. Therefore, this paper proposes an optimized approach to determine the best location for a sink node within a topology control protocol using the Adaptive Particle Swarm Optimization (APSO). The evaluation matrix of the proposed approach is based on the number of active nodes, the time intervals for constructing topologies, and the operational lifetime of the network. The proposed approach was tested against the performance of the standard PSO (SPSO). The simulation results show that the APSO technique surpasses the SPSO and it provides the best lifetime for a substantially longer network's operation time. (C) Springer International Publishing Switzerland 2016.

Název v anglickém jazyce

An Adaptive PSO-based sink node localization approach forwireless sensor networks

Popis výsledku anglicky

Localization in Wireless Sensor Networks (WSNs) is the process of estimating sensors' positions. Localization have been used for identifying: geographic routing, network coverage, network connectivity, object tracking, and other WSNs-based techniques. Many protocols have been proposed as solutions for the localization problem. However, still some protocols need more efforts such as; the Topology Control protocols (TC). These protocols seeking to reduce the number of active nodes/links without any prior knowledge about the nodes' physical positions. Therefore, this paper proposes an optimized approach to determine the best location for a sink node within a topology control protocol using the Adaptive Particle Swarm Optimization (APSO). The evaluation matrix of the proposed approach is based on the number of active nodes, the time intervals for constructing topologies, and the operational lifetime of the network. The proposed approach was tested against the performance of the standard PSO (SPSO). The simulation results show that the APSO technique surpasses the SPSO and it provides the best lifetime for a substantially longer network's operation time. (C) Springer International Publishing Switzerland 2016.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: Centrum excelence IT4Innovations</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Advances in Intelligent Systems and Computing. Volume 427

ISBN

978-3-319-29503-9

ISSN

2194-5357

e-ISSN

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Počet stran výsledku

10

Strana od-do

679-688

Název nakladatele

Springer Verlag

Místo vydání

London

Místo konání akce

Paříž

Datum konání akce

9. 9. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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