福建电脑2025，Vol.41Issue(1)：18-23,6.DOI:10.16707/j.cnki.fjpc.2025.01.003
蝙蝠算法优化无线传感网络节点实时定位
Bat Algorithm Optimizes Real-time Positioning of Wireless Sensor Network Nodes
摘要
Abstract
To improve the accuracy and stability of real-time positioning of wireless sensor network nodes,this paper uses CC2430 microcontroller to design an embedded hardware platform,and combines the least squares method and improved bat algorithm to design a positioning system scheme.By optimizing hardware circuit design,improving bat algorithm,and designing multi constraint optimization models,the goal of adapting to node positioning requirements and improving positioning accuracy can be achieved.The experimental results show that the average positioning error of the positioning system designed in this paper is 0.21,the maximum intrusion rate is less than 1%,and the performance is significantly better than the comparative scheme.The research results can provide new technical solutions for real-time positioning of wireless sensor network nodes,and have good theoretical and practical value.关键词
蝙蝠算法/无线传感器网络/节点实时定位Key words
Bat Algorithm/Wireless Sensor Network/Real-time Node Positioning分类
信息技术与安全科学引用本文复制引用
姜克建..蝙蝠算法优化无线传感网络节点实时定位[J].福建电脑,2025,41(1):18-23,6.基金项目
本文得到基于能量采集的认知无线电频谱感知及接入方法的基金(No.61871133)、700MHz 5G驱动的海洋渔业通信终端与船舶智能管理创新示范应用(FJHYF-ZH--2023-06)资助. （No.61871133）
