在无线传感器网络中使用mayfly优化 (ERPMO) 和TDMA调度的能源意识路由协议
B Sinduja1, C Yaashuwanth2, K Prathibanandhi3
1Department of Information Technology, Sri Venkateswara College of Engineering, Sriperumbudur, Chennai, Tamil Nadu, India. sindu222it@gmail.com.
Scientific reports
|November 18, 2025
概括
本研究介绍了使用Mayfly优化 (ERPMO) 进行无线传感器网络 (WSN) 的能源意识路由协议. 通过优化集群头的选择和调度,ERPMO提高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:
- 无线传感器网络 (WSN) 对于数据收集至关重要,但面临能源限制.
- 有限的节点能量限制了WSNs的运行时间.
- 有效的路由协议对于可持续的WSN部署至关重要.
研究的目的:
- 为WSNs提出一种使用Mayfly优化 (ERPMO) 的新能源意识路由协议.
- 提高网络寿命,能源效率和在资源有限的环境中提供数据.
- 为了应对传感器节点能源容量有限的挑战.
主要方法:
- K-意味着集群,以有效地形成空间集群.
- 梅飞优化算法 (MOA) 基于剩余能量,距离,消耗率和节点密度的最佳集群头选择.
- 动态子集群形成和时间划分多重访问 (TDMA) 调度,以实现负载平衡和最小化碰撞.
主要成果:
- ERPMO实现了1285轮的网络寿命.
- 包传递率达到96.3%,其余能量为0.32 J.
- 集群头的选择准确率为91.2%,公平指数为0.79.
- ERPMO的表现优于现有的基于LEACH,PSO和GA的协议.
结论:
- ERPMO模型提供了一个紧的,节能且无碰撞的路由框架.
- 它显著提高了WSNs的可持续性和运营寿命.
- 整合MOA,K-means和TDMA为WSN能源管理提供了一个强大的解决方案.
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