基于微分进化算法的无线传感器网络覆盖优化问题研究  

Research on Wireless Sensor Network Coverage Optimization Based on Differential Evolution Algorithm

作　　者：坎香[1] 方伟[2] KAN Xiang;FANG Wei(Department of Computer Science,Jiangyin Polytechnic College,Jiangyin Jiangsu 214405,China;School of Internet of Things Engineering,Jiangnan University,Wuxi Jiangsu 214122,China)

机构地区：[1]江阴职业技术学院计算机科学系,江苏江阴214405 [2]江南大学物联网工程学院,江苏无锡214122

出　　处：《盐城工学院学报（自然科学版）》2023年第3期22-27,共6页Journal of Yancheng Institute of Technology:Natural Science Edition

摘　　要：为提高无线传感器网络节点的覆盖率,提出一种基于改进微分进化算法的网络覆盖优化方法。首先,针对无线传感器网络覆盖模型中传感节点跳出覆盖区域及传感节点易于重叠的问题,设计了改进的覆盖模型;其次,为提高微分进化算法应用于WSN覆盖问题上的收敛速度和寻优能力,提出一种改进的选择优化机制;最后,将改进的覆盖模型和改进的微分进化算法应用于WSN的覆盖优化中,发现采用改进覆盖模型以及改进微分进化算法后,无线传感器的网络覆盖率大大提高。In order to improve the coverage of wireless sensor networks,a network coverage optimization method based on improved differential evolutionary algorithm is proposed.Firstly,an improved coverage model is designed to solve the problems that sensor nodes jump out of the coverage area and are easy to overlap in the coverage model of wireless sensor networks.Secondly,in order to improve the convergence speed and optimization ability of differential evolution algorithm applied to WSN coverage problem,an improved selection optimization mechanism is proposed.Finally,the improved coverage model and the improved differential evolution algorithm are applied to the coverage optimization of WSN,and it is found that the network coverage of wireless sensors is greatly improved by using the improved coverage model and the improved differential evolution algorithm.

关 键 词：无线传感器网络 覆盖 微分进化 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]