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

Jeng-Shyang Pan; Qing-Wei Chai; Shu-Chuan Chu; Ning Wu

doi:10.3390/s20082411

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

Jeng-Shyang Pan, Qing-Wei Chai, Shu-Chuan Chu, Ning Wu

Research output: Contribution to journal › Article › peer-review

32 Citations (Scopus)

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Abstract

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.

Original language	English
Article number	2411
Number of pages	12
Journal	Sensors (Switzerland)
Volume	20
Issue number	8
DOIs	https://doi.org/10.3390/s20082411
Publication status	Published - 23 Apr 2020
Externally published	Yes

Bibliographical note

©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/)

Keywords

node coverage
3-D node deployed
WSN
intelligence computing
black hole
Black hole
Intelligence computing
Node coverage

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10.3390/s20082411Licence: CC BY

Sensors-3D Terrain Node Coverage-2020Final published version, 5.38 MBLicence: CC BY

Cite this

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

Abstract

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Keywords

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