通过基于coot算法的能源管理模型,提高WSN中的网络寿命
Namita Shinde1, Dr Vinod H Patil1
1Bharati Vidyapeeth (Deemed to be University), College of Engineering, Pune-Satara Road, Pune, 411043.
MethodsX
|February 7, 2025
概括
本研究介绍了使用Coot优化算法 (COA) 进行无线传感器网络 (WSN) 的节能集群和路由技术. COA 方法显著提高了网络寿命,减少了延迟,提高了安全性和信任.
科学领域:
- 计算机科学 计算机科学
- 网络工程 网络工程
- 优化算法 优化算法
背景情况:
- 无线传感器网络 (WSN) 面临的挑战包括高能耗,通信延迟和安全漏洞.
- 现有的优化算法往往难以有效地平衡这些相互竞争的网络性能指标.
研究的目的:
- 为WSNs提出一种新的,节能的集群和路由技术.
- 解决能源消耗,通信延迟和WSN安全等关键问题.
- 提高整体网络可靠性和数据完整性.
主要方法:
- 开发了一种使用Coot优化算法 (COA) 的集群和路由技术.
- 集成了一个先进的健身功能,根据剩余能量,延迟,安全性,信任,距离和链路质量评估集群头和路线.
- 通过模拟将COA与其他元启发算法 (BOA,GA,TSO,GWO,BSA) 进行比较.
主要成果:
- 拟议的COA技术与现有算法相比,表现出优越的性能.
- 实现了最低的通信延迟和最高的网络寿命 (3571轮).
- 展示了增强的安全性 (0.8) 和信任 (0.6) 度量与降低能源消耗.
结论:
- 库特优化算法为改善WSN性能提供了一种创新且有效的解决方案.
- 该技术确保了能量负载的均分布,并保持可靠的数据流.
- COA非常适合用于WSN性能提升,在效率,可靠性和安全性方面提供了显著的改进.
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