基于物联网中改进的SSA和Multi-Hop传输的低功耗能源平衡集群路由方案
Rui Wang1, Xiaoling Guo1, Xinghua Sun2
1School of Information Science and Engineering, Hebei North University, Zhangjiakou, 075000, China.
Scientific reports
|April 11, 2025
概括
本研究介绍了物联网 (IoT) 传感器网络的低功耗,能量平衡的集群路由方案. 增强的子搜索算法优化了集群头的选择,大大延长了传感器节点的寿命,并平衡了能源消耗.
科学领域:
- 物联网 (IoT) 的物联网 (IoT) 的物联网.
- 无线传感器网络 无线传感器网络
- 计算中的能源效率.
背景情况:
- 大规模物联网应用中的传感器节点具有有限的功率,需要节能和平衡消费.
- 通信是传感器节点功率损失的主要来源,导致节点过早故障和监控盲点.
- 现有的路由方案往往难以有效地平衡能源消耗,限制物联网网络的运营寿命.
研究的目的:
- 为物联网传感器网络提出一种新的低功耗,能源平衡的集群路由方案.
- 在大规模监控场景中提高传感器节点的运行寿命和可靠性.
- 为应对物联网部署中能源消耗不均和节点过早死亡的挑战.
主要方法:
- 一个改进的Sparrow搜索算法 (SSA) 结合了自适应正弦函数和考奇随机数来增强全球搜索能力.
- 使用标准正常分布的随机数来改善SSA的局部最佳规避.
- 开发一个具有五个参数 (剩余能量,集群成员数,集群内部距离,集群间距离,基站距离) 的适应性函数,用于集群头部选择.
- 实施多节点转发规则,以尽量减少数据传输期间的能量损失.
主要成果:
- 拟议的方案大大延长了传感器节点的整体寿命.
- 实验结果表明,传感器节点之间的能量消耗模式是平衡的.
- 该方案有效地延迟了第一个死节点的出现,确保了持续的监控.
- 传感器节点长时间保持低功耗运行.
结论:
- 开发的低功耗,能源平衡的集群路由方案为延长物联网传感器网络寿命提供了可行的解决方案.
- 增强的SSA和多参数健身功能有效地解决了能量平衡和节点寿命问题.
- 这种方法为低功耗的长期物联网部署提供了新的策略,特别是在生态和工业应用等大规模监测中.
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