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

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...

Full description

Bibliographic Details
Main Authors: Jeng-Shyang Pan, Qing-Wei Chai, Shu-Chuan Chu, Ning Wu
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Sensors
Subjects:
node coverage
3-D node deployed
WSN
intelligence computing
black hole
Online Access:https://www.mdpi.com/1424-8220/20/8/2411
Description
Summary: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.
ISSN:1424-8220

Similar Items