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 journalArticle

1 Citation (Scopus)
4 Downloads (Pure)

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 languageEnglish
Article number2411
Number of pages12
JournalSensors (Switzerland)
Volume20
Issue number8
DOIs
Publication statusPublished - 23 Apr 2020
Externally publishedYes

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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