一个改进的灰狼优化器与多阶段的差异化策略覆盖在三维无线传感器网络的覆盖范围
Zhenkun Liu1, Yun Ou2, Shuanghu Wang1
1School of Communication and Electronic Engineering, Jishou University, Jishou, 416000, China.
Scientific reports
|November 23, 2025
概括
优化3D无线传感器网络 (WSN) 是一个挑战. 改进的灰狼优化器与多阶段区分策略 (IGWO-MSDS) 提高了复杂地形中的物联网应用的覆盖范围和效率.
科学领域:
- 计算机科学 计算机科学
- 电气工程 电气工程
- 网络工程 网络工程
背景情况:
- 无线传感器网络 (WSN) 对物联网至关重要,它连接物理和数字领域.
- 在复杂的地形上优化3D WSNs的覆盖面是一个重大挑战.
- 现有的二维模型不能准确地代表现实世界的3D空间动态.
研究的目的:
- 为了提高3D WSN覆盖率的效率.
- 在复杂的3D环境中降低部署成本.
- 为3D WSN部署引入一个改进的优化算法.
主要方法:
- 提出了一种改进的灰狼优化器,具有多阶段差异化策略 (IGWO-MSDS).
- 纳入了用于早期信息交换的分激素指导策略.
- 采用了混合灰狼-人工蜂群策略,用于中期勘探/开采平衡.
- 实现了一种Lévy飞行机制,用于后期性能改进.
主要成果:
- 在最佳覆盖率,平均覆盖率和标准偏差方面,IGWO-MSDS表现出卓越的性能.
- 模拟证实,IGWO-MSDS的表现优于GWO,SSA,WOA,GOA,OGWO,DGWO1和DGWO2.这些模拟系统的表现非常好.
- 该算法在覆盖效率和成本降低方面取得了显著的改进.
结论:
- IGWO-MSDS为3D WSN部署提供了一个可扩展和节能的解决方案.
- 拟议的方法有效地解决了复杂的3D环境中的覆盖率优化挑战.
- 这有助于物联网系统在现实世界复杂环境中的进步.
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