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3-D Terrain Node Coverage of Wireless Sensor Network Using Enhanced Black Hole Algorithm
DOI:10.3390/s20082411.png)
摘要
En 中文
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.
Keyword:
node coverage
3-D node deployed
WSN
intelligence computing
black hole
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期刊
IF:
3.5
论文数:
7.2W
被引数:
20.9W
机构
引用论文
A Hybrid Differential Evolution Algorithm and Its Application in Unmanned Combat Aerial Vehicle Path Planning
IEEE ACCESS
IF3.6

