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Manipulation and Analysis01:21

Manipulation and Analysis

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GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
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Updated: Jun 29, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

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基于集群的无线传感器网络的高效路由协议,使用协作灵感的哈里斯·霍克优化和模糊逻辑.

Huangshui Hu1, Xinji Fan1, Chuhang Wang2

  • 1College of Computer Science and Engineering, Changchun University of Technology, Changchun, China.

PloS one
|April 5, 2024
PubMed
概括

本研究介绍了CHHFO,这是一种用于无线传感器网络的新型协议,可以提高网络寿命. 通过将模糊逻辑与哈里斯霍克斯优化相结合,它可以提高能源效率和网络吞吐量.

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 (WSNs) 需要节能协议来延长运行时间.
  • 优化能源使用仍然是最大限度地提高WSN寿命的关键挑战.
  • 现有的集群和路由协议在有效的能源管理方面存在局限性.

研究的目的:

  • 引入CHHFO,一种旨在提高WSN寿命的新方案.
  • 提高WSNs中的能源效率和网络吞吐量.
  • 为应对优化WSNs能源使用的挑战.

主要方法:

  • 开发了CHHFO协议,集成模糊逻辑和协作哈里斯·霍克斯优化.
  • 模糊逻辑系统使用剩余的能量,基站距离和邻居数来进行集群头部选择.
  • 哈里斯·霍克斯优化算法采用了新的编码来进行最佳的继电器集群头选择.

主要成果:

  • 与HHO-UCRA,IHHO-F和EFCR相比,CHHFO的网络吞吐量更高.
  • 网络吞吐量改善分别为8.76%,11.73%和8.64%.
  • CHHFO的能量消耗比HHO-UCRA,IHHO-F和EFCR的能量消耗降低了0.88%,39.79%和34.25%.

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结论:

  • 通过优化节能,CHHFO协议有效地提高了WSN的寿命.
  • 模糊逻辑和哈里斯·霍克斯优化的集成导致了网络性能的显著改善.
  • 在无线传感器网络中,CHHFO为节能路由提供了一个有前途的解决方案.