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Bioinspired Evolutionary Algorithm Based for Improving Network Coverage in Wireless Sensor Networks

Wireless sensor networks (WSNs) include sensor nodes in which each node is able to monitor the physical area and send collected information to the base station for further analysis. The important key of WSNs is detection and coverage of target area which is provided by random deployment. This paper...

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Detalles Bibliográficos
Autores principales: Abbasi, Mohammadjavad, Bin Abd Latiff, Muhammad Shafie, Chizari, Hassan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3943197/
https://www.ncbi.nlm.nih.gov/pubmed/24693247
http://dx.doi.org/10.1155/2014/839486
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author Abbasi, Mohammadjavad
Bin Abd Latiff, Muhammad Shafie
Chizari, Hassan
author_facet Abbasi, Mohammadjavad
Bin Abd Latiff, Muhammad Shafie
Chizari, Hassan
author_sort Abbasi, Mohammadjavad
collection PubMed
description Wireless sensor networks (WSNs) include sensor nodes in which each node is able to monitor the physical area and send collected information to the base station for further analysis. The important key of WSNs is detection and coverage of target area which is provided by random deployment. This paper reviews and addresses various area detection and coverage problems in sensor network. This paper organizes many scenarios for applying sensor node movement for improving network coverage based on bioinspired evolutionary algorithm and explains the concern and objective of controlling sensor node coverage. We discuss area coverage and target detection model by evolutionary algorithm.
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spelling pubmed-39431972014-04-01 Bioinspired Evolutionary Algorithm Based for Improving Network Coverage in Wireless Sensor Networks Abbasi, Mohammadjavad Bin Abd Latiff, Muhammad Shafie Chizari, Hassan ScientificWorldJournal Review Article Wireless sensor networks (WSNs) include sensor nodes in which each node is able to monitor the physical area and send collected information to the base station for further analysis. The important key of WSNs is detection and coverage of target area which is provided by random deployment. This paper reviews and addresses various area detection and coverage problems in sensor network. This paper organizes many scenarios for applying sensor node movement for improving network coverage based on bioinspired evolutionary algorithm and explains the concern and objective of controlling sensor node coverage. We discuss area coverage and target detection model by evolutionary algorithm. Hindawi Publishing Corporation 2014-02-12 /pmc/articles/PMC3943197/ /pubmed/24693247 http://dx.doi.org/10.1155/2014/839486 Text en Copyright © 2014 Mohammadjavad Abbasi et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Abbasi, Mohammadjavad
Bin Abd Latiff, Muhammad Shafie
Chizari, Hassan
Bioinspired Evolutionary Algorithm Based for Improving Network Coverage in Wireless Sensor Networks
title Bioinspired Evolutionary Algorithm Based for Improving Network Coverage in Wireless Sensor Networks
title_full Bioinspired Evolutionary Algorithm Based for Improving Network Coverage in Wireless Sensor Networks
title_fullStr Bioinspired Evolutionary Algorithm Based for Improving Network Coverage in Wireless Sensor Networks
title_full_unstemmed Bioinspired Evolutionary Algorithm Based for Improving Network Coverage in Wireless Sensor Networks
title_short Bioinspired Evolutionary Algorithm Based for Improving Network Coverage in Wireless Sensor Networks
title_sort bioinspired evolutionary algorithm based for improving network coverage in wireless sensor networks
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3943197/
https://www.ncbi.nlm.nih.gov/pubmed/24693247
http://dx.doi.org/10.1155/2014/839486
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