一个集群头选择算法,用于在无线传感器网络中延长最后一个节点的寿命
Marcin Lewandowski1, Bartłomiej Płaczek1
1Institute of Computer Science, University of Silesia, Będzińska 39, 41-200 Sosnowiec, Poland.
Sensors (Basel, Switzerland)
|September 19, 2025
概括
本研究介绍了无线传感器网络 (WSN) 的新算法,通过优化集群头选择来延长网络寿命. 该方法优先考虑具有高传输概率和低初始能量的节点,显著超过现有策略.
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) 在能源效率和网络寿命方面面临着挑战.
- 现有的能量平衡策略往往无法最大限度地提高最后一个活跃节点的运行时间.
- 在WSN中异质的能源消耗模式需要适应性解决方案.
研究的目的:
- 为WSNs引入一个新的集群头选择算法.
- 为了最大限度地提高网络寿命,直到最后一个传感器节点耗尽其能量.
- 为节能WSN运行提供实用和强大的解决方案.
主要方法:
- 开发了一个新的集群头选择算法,该算法基于节点能耗的正式分析.
- 模拟网络寿命作为节点能耗的函数.
- 实施了一个分布式的每个集群计算方法.
- 优先考虑的节点具有最高的传输概率和最低的初始能量作为初始集群头.
- 适应异质的能源消耗模式,并强制执行特定的集群头旋转顺序.
主要成果:
- 与最先进的方法相比,拟议的算法显著延长了最后一个活跃节点的寿命.
- 基于LoRaWAN的传感器网络原型的实验验证证证了算法的有效性.
- 该方法证明了可扩展性,而与网络大小相比,不增加复杂性.
结论:
- 新型集群头选择算法为节能WSN运行提供了实用且强大的解决方案.
- 该方法通过考虑现实的通信行为和硬件能耗,有效地最大化网络寿命.
- 这项研究有助于在现实世界部署中延长传感器节点的操作寿命.
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