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蝙蝠算法优化无线传感网络节点实时定位

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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.
Bat Algorithm Optimizes Real-time Positioning of Wireless Sensor Network Nodes
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.

Bat AlgorithmWireless Sensor NetworkReal-time Node Positioning

姜克建

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广东省电信规划设计院有限公司 广州 510630

蝙蝠算法 无线传感器网络 节点实时定位

2025

福建电脑
福建省计算机学会

福建电脑

影响因子:0.207
ISSN:1673-2782
年,卷(期):2025.41(1)