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

作　　者：姜克建 JIANG Kejian(Guangdong Telecom Planning and Design Institute Co.,Guangzhou,China,510630)

机构地区：[1]广东省电信规划设计院有限公司,广州510630

出　　处：《福建电脑》2025年第1期18-23,共6页Journal of Fujian Computer

基　　金：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。

摘　　要：为提高无线传感器网络节点实时定位的精度和稳定性,本文采用CC2430单片机设计嵌入式硬件平台,结合最小二乘法和改进的蝙蝠算法设计定位系统方案。通过优化硬件电路设计、改进蝙蝠算法和设计多约束优化模型,达到适应节点定位需求并提高定位精度的目标。实验的结果表明,本文设计的定位系统平均定位误差为0.21,最大入侵率低于1%,性能显著优于对比方案。研究成果可为无线传感器网络节点实时定位提供新的技术方案,具有较好的理论和应用价值。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 

分 类 号：TP315[自动化与计算机技术—计算机软件与理论]