基于增强型黑洞算法的无线传感器网络三维地形节点覆盖

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

作者信息

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

机构信息

College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China.

School of Electronic and Information Engineering, Beibu Gulf University, Qinzhou 535011, China.

出版信息

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

DOI:10.3390/s20082411

PMID:32340324

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7219582/

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.

摘要

本文提出了一种名为增强黑洞（EBH）的新智能计算算法，该算法应用了变异操作和权重因子。在增强黑洞算法中，选取多个精英作为榜样，而不是像原始黑洞（BH）算法那样只选一个。通过CEC 2013测试套件验证了增强黑洞算法的性能，其结果优于原始黑洞算法。此外，增强黑洞算法和其他著名算法可用于解决三维地形中无线传感器网络（WSN）的节点覆盖问题，性能令人满意。