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

Sensors (Basel). 2020 Apr 23;20(8):2411. doi: 10.3390/s20082411.

Authors

Jeng-Shyang Pan¹, Qing-Wei Chai¹, Shu-Chuan Chu¹, Ning Wu²

Affiliations

¹ College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China.
² School of Electronic and Information Engineering, Beibu Gulf University, Qinzhou 535011, China.

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.

Keywords: 3-D node deployed; WSN; black hole; intelligence computing; node coverage.