Pan JS, Chai QW, Chu SC, Wu N. 3-D Terrain Node Coverage of Wireless Sensor Network Using Enhanced Black Hole Algorithm.
Sensors (Basel) 2020;
20:s20082411. [PMID:
32340324 PMCID:
PMC7219582 DOI:
10.3390/s20082411]
[Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Revised: 04/19/2020] [Accepted: 04/21/2020] [Indexed: 11/16/2022]
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.
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