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无线传感器网络的覆盖率优化,使用多策略的改进CS

Sen-Yu Yang¹, Chang-Feng Chen², Kai-Qing Zhou³

¹School of Communication and Electronic Engineering, Jishou University, Jishou, 416000, China.

Scientific reports

|August 13, 2025

概括

本研究介绍了一种改进的Cuckoo Search算法 (ICS-MS),以优化无线传感器网络 (WSN) 的覆盖范围,降低成本并提高效率. 新的算法有效地提高了节点分布和覆盖率.

科学领域:

计算机科学计算机科学
电气工程电气工程
优化算法优化算法

背景情况:

无线传感器网络 (WSN) 面临覆盖面的挑战,原因是部署成本高,节点分布不均.
标准Cuckoo搜索 (CS) 算法显示优化有希望,但需要对复杂的WSN覆盖问题进行增强.

研究的目的:

提出一个改进的Cuckoo搜索算法与多策略 (ICS-MS) 为增强的WSN覆盖率优化.
通过改善节点分布和减少盲区来解决WSN覆盖范围的局限性.

主要方法:

开发了一种改进的Cuckoo Search算法 (ICS-MS),结合了基于标准CS的马尔科夫链分析的多策略.
通过与标准CS的数值比较以及其在功能优化方面的变化来评估ICS-MS.
在各种场景和节点部署中使用ICS-MS进行了WSN覆盖率优化实验.

主要成果:

在功能优化和WSN覆盖应用中,ICS-MS显著改进.
该算法显示了增强的稳定性,更快的融合,以及在高维优化中更高的准确性.
通过ICS-MS,WSN覆盖率增加了高达22.21%,超过了比较算法,并改善了节点分布.

结论:

拟议的ICS-MS算法有效优化了WSN覆盖范围,从而提高了覆盖率并降低了部署成本.
与标准算法相比,ICS-MS提供了更好的稳定性,更均的节点分布,优化中的随机性更小.
在ICS-MS中的多策略方法对于WSN中的复杂优化任务是有益的.

关键词:

覆盖范围覆盖范围覆盖范围子搜索算法子搜索算法马尔科夫连锁是什么意思优化优化优化优化无线传感器网络无线传感器网络

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