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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
Descripción
Sumario: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.