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In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
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Irradiation of a spin-active nucleus causes an increase or decrease in the signal intensity of neighboring nuclei that are not necessarily chemically bonded or involved in J-coupling.  This phenomenon, called the Nuclear Overhauser Enhancement (NOE), results from through-space interactions between the nuclear spins. The NOE effect decreases with increasing internuclear distance and is generally not observed beyond 4 angstroms. In NOE, dipole-dipole interactions between neighboring...
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在WSN中优化覆盖范围和最小化节点:采用空间位置编码的增强混合PSO方法.

Yinghua Tong1, Lianhai Lin1, Liqin Tian2,3

  • 1School of Computer Science, Qinghai Normal University, Xining, 810016, Qinghai, China.

Scientific reports
|July 13, 2025
PubMed
概括

本研究介绍了一种用于无线传感器网络 (WSN) 的增强混合粒子群集优化 (EHPSO) 算法. EHPSO算法优化传感器覆盖范围,并动态调整节点部署以提高效率.

关键词:
优化覆盖范围的优化动态节点调整的调整节点部署部署节点部署粒子群集优化 (PSO) 是一种无线传感器网络 (WSN) 是指无线传感器网络.

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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) 对于要求高效覆盖率和资源管理的应用至关重要.
  • 优化传感器位置和数量对于WSN性能和成本效益至关重要.
  • 现有的方法往往难以平衡覆盖质量与部署的传感器数量.

研究的目的:

  • 为WSN覆盖率优化开发一个增强的混合粒子群集优化 (EHPSO) 算法.
  • 整合空间位置编码 (SPE) 以改善搜索指导和动态节点调整.
  • 在最大化覆盖范围和最小化WSN中的传感器部署之间实现平衡.

主要方法:

  • 开发了增强的混合粒子群集优化 (EHPSO) 算法.
  • 在公共服务任务框架内整合空间位置编码 (SPE) 策略.
  • 进行广泛的模拟,将EHPSO与最先进的算法进行比较.
  • 建立一个多目标优化模型来评估性能.

主要成果:

  • 与现有方法相比,EHPSO算法在覆盖率优化方面表现出优越的性能.
  • 在保持高覆盖率的同时,部署的传感器数量大大减少.
  • 该算法有效地平衡了勘探和开发,在各种场景中确保了强大的性能.

结论:

  • 拟议的EHPSO算法为WSN部署提供了更有效和更具成本效益的解决方案.
  • 这项研究为优化WSN做出了有价值的贡献,特别是在资源有限的环境中.
  • SPE策略增强了动态调整节点数量的能力,以实现最佳的网络配置.