一种移动无线传感器覆盖范围优化方法用于桥梁监控
Cong Mu1, Jiguang Yang1, Jiuyuan Huo1,2
1School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China.
Sensors (Basel, Switzerland)
|May 14, 2025
概括
本研究介绍了使用改进的徒步优化算法对异质移动无线传感器网络的增强覆盖策略. VF-GPTHOA显著提高了桥梁结构健康监测覆盖率,优于现有方法.
科学领域:
- 工程 工程师 工程师 工程师
- 计算机科学 计算机科学
- 网络优化 网络优化
背景情况:
- 桥梁结构健康监测需要在异质的移动无线传感器网络中有效地分配资源.
- 优化传感器部署和移动对于全面监控至关重要.
研究的目的:
- 为异质移动无线传感器网络提出增强覆盖战略.
- 改善资源分配和网络覆盖,以监测桥梁结构健康状况.
主要方法:
- 一个改进的徒步优化算法 (GPTHOA) 集成好点集理论和t分布扰动.
- 针对异质移动无线传感器网络的虚拟力引导覆盖增强策略 (VF-GPTHOA).
- 优化节点部署和移动轨迹以最大限度地减少距离.
主要成果:
- 在60个异质传感器的桥梁模型中,VF-GPTHOA实现了97.07%的覆盖率.
- 与DE,MA,GWO,SSA和HOA算法相比,已经证明了显著的改进.
- 在动态节点规模场景中保持最佳覆盖性能.
结论:
- VF-GPTHOA提供了一个强大而有效的解决方案,用于提高异质移动无线传感器网络的覆盖率.
- 拟议的战略适用于并有利于在桥梁结构健康监测中的实际工程应用.
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