Grey Wolves Optimizer-based localization approach in WSNs

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86099086" target="_blank" >RIV/61989100:27240/15:86099086 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27740/15:86099086

Výsledek na webu

<a href="http://dx.doi.org/10.1109/ICENCO.2015.7416358" target="_blank" >http://dx.doi.org/10.1109/ICENCO.2015.7416358</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICENCO.2015.7416358" target="_blank" >10.1109/ICENCO.2015.7416358</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Grey Wolves Optimizer-based localization approach in WSNs

Popis výsledku v původním jazyce

Localization is one of the main challenge in wireless sensor networks (WSNs). Since both routing establishment and coverage performance of a sensor network are directly affected by the nodes' localizations. While knowing the position of each node is important, a small number of researches had considered the importance of the localization of the sink node. Therefore this paper presents a sink node localization approach based on Grey Wolves Optimizer (GWO). The approach was evaluated against the performance of specific protocols of WSNs (Topology Control Protocols). Through a number of simulation based experiments for different sized nodes' deployment scenarios, it is obviously that the proposed approach had minimized the average of energy cost and the number of active nodes along with the time required to construct a reduced topology. (C) 2015 IEEE.

Název v anglickém jazyce

Grey Wolves Optimizer-based localization approach in WSNs

Popis výsledku anglicky

Localization is one of the main challenge in wireless sensor networks (WSNs). Since both routing establishment and coverage performance of a sensor network are directly affected by the nodes' localizations. While knowing the position of each node is important, a small number of researches had considered the importance of the localization of the sink node. Therefore this paper presents a sink node localization approach based on Grey Wolves Optimizer (GWO). The approach was evaluated against the performance of specific protocols of WSNs (Topology Control Protocols). Through a number of simulation based experiments for different sized nodes' deployment scenarios, it is obviously that the proposed approach had minimized the average of energy cost and the number of active nodes along with the time required to construct a reduced topology. (C) 2015 IEEE.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

—

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

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

2015 11th International Computer Engineering Conference: Today Information Society What's Next?, ICENCO 2015

ISBN

978-1-5090-0275-7

ISSN

—

e-ISSN

—

Počet stran výsledku

5

Strana od-do

256-260

Název nakladatele

Institute of Electrical and Electronics Engineers

Místo vydání

New York

Místo konání akce

Káhira

Datum konání akce

29. 12. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000378560500042