3-D Terrain Node Coverage of Wireless Sensor Network Using Enhanced Black Hole Algorithm

In this paper, a new intelligent computing algorithm named Enhanced Black Hole (EBH) is proposed to which the mutation operation and weight factor are applied. In EBH, several elites are taken as role models instead of only one in the original Black Hole (BH) algorithm. The performance of the EBH al...

Descripción completa

Detalles Bibliográficos
Autores principales: Pan, Jeng-Shyang, Chai, Qing-Wei, Chu, Shu-Chuan, Wu, Ning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7219582/
https://www.ncbi.nlm.nih.gov/pubmed/32340324
http://dx.doi.org/10.3390/s20082411
_version_ 1783533013844361216
author Pan, Jeng-Shyang
Chai, Qing-Wei
Chu, Shu-Chuan
Wu, Ning
author_facet Pan, Jeng-Shyang
Chai, Qing-Wei
Chu, Shu-Chuan
Wu, Ning
author_sort Pan, Jeng-Shyang
collection PubMed
description In this paper, a new intelligent computing algorithm named Enhanced Black Hole (EBH) is proposed to which the mutation operation and weight factor are applied. In EBH, several elites are taken as role models instead of only one in the original Black Hole (BH) algorithm. The performance of the EBH algorithm is verified by the CEC 2013 test suit, and shows better results than the original BH. In addition, the EBH and other celebrated algorithms can be used to solve node coverage problems of Wireless Sensor Network (WSN) in 3-D terrain with satisfactory performance.
format Online
Article
Text
id pubmed-7219582
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-72195822020-05-22 3-D Terrain Node Coverage of Wireless Sensor Network Using Enhanced Black Hole Algorithm Pan, Jeng-Shyang Chai, Qing-Wei Chu, Shu-Chuan Wu, Ning Sensors (Basel) Article In this paper, a new intelligent computing algorithm named Enhanced Black Hole (EBH) is proposed to which the mutation operation and weight factor are applied. In EBH, several elites are taken as role models instead of only one in the original Black Hole (BH) algorithm. The performance of the EBH algorithm is verified by the CEC 2013 test suit, and shows better results than the original BH. In addition, the EBH and other celebrated algorithms can be used to solve node coverage problems of Wireless Sensor Network (WSN) in 3-D terrain with satisfactory performance. MDPI 2020-04-23 /pmc/articles/PMC7219582/ /pubmed/32340324 http://dx.doi.org/10.3390/s20082411 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Pan, Jeng-Shyang
Chai, Qing-Wei
Chu, Shu-Chuan
Wu, Ning
3-D Terrain Node Coverage of Wireless Sensor Network Using Enhanced Black Hole Algorithm
title 3-D Terrain Node Coverage of Wireless Sensor Network Using Enhanced Black Hole Algorithm
title_full 3-D Terrain Node Coverage of Wireless Sensor Network Using Enhanced Black Hole Algorithm
title_fullStr 3-D Terrain Node Coverage of Wireless Sensor Network Using Enhanced Black Hole Algorithm
title_full_unstemmed 3-D Terrain Node Coverage of Wireless Sensor Network Using Enhanced Black Hole Algorithm
title_short 3-D Terrain Node Coverage of Wireless Sensor Network Using Enhanced Black Hole Algorithm
title_sort 3-d terrain node coverage of wireless sensor network using enhanced black hole algorithm
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7219582/
https://www.ncbi.nlm.nih.gov/pubmed/32340324
http://dx.doi.org/10.3390/s20082411
work_keys_str_mv AT panjengshyang 3dterrainnodecoverageofwirelesssensornetworkusingenhancedblackholealgorithm
AT chaiqingwei 3dterrainnodecoverageofwirelesssensornetworkusingenhancedblackholealgorithm
AT chushuchuan 3dterrainnodecoverageofwirelesssensornetworkusingenhancedblackholealgorithm
AT wuning 3dterrainnodecoverageofwirelesssensornetworkusingenhancedblackholealgorithm

Ejemplares similares