Work

3-D Terrain Node Coverage of Wireless Sensor Network Using Enhanced Black Hole Algorithm

Year: 2020

Type: article

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.

Source: Sensors

DOI: 10.3390/s20082411

Authors: Jeng-Shyang Pan, Qing-Wei Chai, Shu-Chuan Chu, Ning Wu

Institutions: Shandong University of Science and Technology, Beibu Gulf University

Language: English

Topic: Metaheuristic Optimization Algorithms Research

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,112

Funders: National Natural Science Foundation of China, Natural Science Foundation of Fujian Province, Fujian Provincial Department of Science and Technology