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...

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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:
WSN
Online Access:https://www.mdpi.com/1424-8220/20/8/2411
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spelling doaj-1a8aca3b2b024047958f6fbe5856dc862020-11-25T02:03:40ZengMDPI AGSensors1424-82202020-04-01202411241110.3390/s200824113-D Terrain Node Coverage of Wireless Sensor Network Using Enhanced Black Hole AlgorithmJeng-Shyang Pan0Qing-Wei Chai1Shu-Chuan Chu2Ning Wu3College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, ChinaCollege of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, ChinaCollege of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, ChinaSchool of Electronic and Information Engineering, Beibu Gulf University, Qinzhou 535011, ChinaIn 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.https://www.mdpi.com/1424-8220/20/8/2411node coverage3-D node deployedWSNintelligence computingblack hole
collection DOAJ
language English
format Article
sources DOAJ
author Jeng-Shyang Pan
Qing-Wei Chai
Shu-Chuan Chu
Ning Wu
spellingShingle Jeng-Shyang Pan
Qing-Wei Chai
Shu-Chuan Chu
Ning Wu
3-D Terrain Node Coverage of Wireless Sensor Network Using Enhanced Black Hole Algorithm
Sensors
node coverage
3-D node deployed
WSN
intelligence computing
black hole
author_facet Jeng-Shyang Pan
Qing-Wei Chai
Shu-Chuan Chu
Ning Wu
author_sort Jeng-Shyang Pan
title 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_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_sort 3-d terrain node coverage of wireless sensor network using enhanced black hole algorithm
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2020-04-01
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.
topic node coverage
3-D node deployed
WSN
intelligence computing
black hole
url https://www.mdpi.com/1424-8220/20/8/2411
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