在无线传感器网络中通过优化最小跨越树来提高能量平衡
Hafiz Muhammad Saad1, Ahmed Shdefat2, Asif Nawaz1
1University Institute of Information Technology, University of Arid Agriculture Rawalpindi, Rawalpindi, Punjab, Pakistan.
PeerJ. Computer science
|December 9, 2024
概括
本研究介绍了Prim的算法,用于创建最小跨度树 (MST),用于在无线传感器网络 (WSN) 中平衡能量. 该方法通过优化节点连接和水槽移动来提高网络寿命和能源效率.
科学领域:
- 计算机科学 计算机科学
- 网络工程 网络工程
- 算法设计 算法设计
背景情况:
- 无线传感器网络 (WSNs) 面临着巨大的挑战,因为传感器节点的能源有限.
- 能源不平衡导致节点过早故障,并降低了整体网络寿命,阻碍了环境监测和工业自动化等应用.
- 现有的解决方案难以有效地解决WSN能源失衡问题,原因是网络动态和节点分布不均.
研究的目的:
- 通过Prim的算法,提出一种用于增强WSN中的能量平衡的新方法.
- 提高无线传感器网络的寿命和能源效率.
- 为可持续应用优化WSN的部署和运行.
主要方法:
- 使用Prim的算法来构建最小跨度树 (MST) 以实现最佳节点连接.
- 实施网络初始化和能源消耗建模.
- 在WSN中优化移动下沉节点的移动.
主要成果:
- 在WSN节点中显著改善了能量平衡.
- 展示了Prim算法的有效性,最大限度地减少了能源消耗.
- 实验结果表明,拟议的方法具有高灵敏度和中等复杂性.
结论:
- 普林的算法为改善WSN中的能量平衡提供了一个可行的解决方案.
- 拟议的方法有效地延长了无线传感器网络的运行寿命.
- 这项研究通过改进能源管理,为更可持续和更有效的WSN部署做出了贡献.
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