一个改进的子搜索算法及其在部署3D无线传感器节点中的应用
Shan Li1, Li Ping Mo2, Biao Yin1
1School of Communication and Electronic Engineering, Jishou University, Jishou, 416000, China.
Scientific reports
|December 15, 2025
概括
一个新的多策略改进的搜索算法 (MSISSA) 增强了3D无线传感器节点 (3D-WSN) 的部署. 与现有算法相比,MSISSA实现了更高的覆盖率,优化了网络性能.
科学领域:
- 计算机科学 计算机科学
- 人工智能的人工智能
- 优化算法 优化算法
背景情况:
- 传统的搜索算法 (SSA) 在本地搜索准确性和全球探索方面存在局限性.
- 优化3D无线传感器节点 (3D-WSNs) 的部署对于网络效率和覆盖率至关重要.
研究的目的:
- 提出一个增强的多策略搜索算法 (MSISSA).
- 应用MSISSA以优化3D-WSN的部署.
- 评估MSISSA与SSA和其他智能算法的性能.
主要方法:
- MSISSA集成了一个可适应的重量操作员,以改善位置更新.
- 整合了火焰优化 (MFO) 螺旋飞行机制,以平衡本地和全球搜索.
- 包括Levy飞行机制,以逃避局部最佳状态.
主要成果:
- MSISSA在SSA,其变体和两个经典智能算法上表现出卓越的性能.
- 最佳覆盖率为91.89% (30个节点) 和99.11% (50个节点) 由MSISSA实现.
- 在3D-WSN部署优化方面,MSISSA显著超过了现有的方法.
结论:
- MSISSA有效地解决了SSA的缺点.
- 拟议的MSISSA非常适合优化3D-WSN部署.
- 对于复杂的优化问题,MSISSA提供了更高的准确性和融合.
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