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
Descripción
Sumario: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.

Ejemplares similares