无线传感器网络的集中式双层集群方法,基于合级联模糊系统
Antonio Jesus Yuste-Delgado1, Alicia Triviño2, David Diaz-Jimenez3
1Department of Telecommunication Engineering, Universidad de Jaén, Linares, 23700, Spain.
Scientific reports
|December 10, 2025
概括
这项研究引入了使用级联模糊系统的双层集群方法,以提高无线传感器网络寿命. 该方法优化了集群头的选择,大大延长了网络寿命和能源效率.
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:
- 物联网 (IoT) 应用经常使用无线传感器网络 (WSNs),需要高效的能源管理.
- 电池驱动的传感器节点需要策略来最大限度地提高网络寿命.
- 集群是WSN节能的一个关键技术,集群头的选择至关重要.
研究的目的:
- 为WSNs提出一种新的集中式,双层集群方法.
- 通过智能集群头和超级集群头选择来提高网络寿命和能源效率.
- 为了利用软计算,特别是模糊逻辑,提高WSN性能.
主要方法:
- 一个集中的,两层的集群架构,集群头 (CHs) 和超级集群头.
- 实施可持续性过器,以删除具有低残留能量的节点.
- 采用双级级联模糊系统,根据能量和其他变量选择CHs和超级CHs.
主要成果:
- 拟议的方法有效地规避了基站附近的快速能源耗尽.
- 在各种场景中,模拟显示了WSN寿命的大幅提高.
- 该方法显示了显著程度的适应性,以不同的基站位置.
结论:
- 级联模糊系统为WSN中的能源管理提供了强大的解决方案.
- 双层集群方法显著改善了网络的寿命和性能.
- 拟议的技术在各种WSN部署环境中具有适应性和有效性.
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