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相关概念视频

Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

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A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of the...
898
Distributed Loads: Problem Solving01:21

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Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
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相关实验视频

Updated: Nov 13, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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无线传感器网络的节能,基于集群的路由协议使用模糊逻辑和量子炼算法.

Hongzhi Wang1, Ke Liu1, Chuhang Wang2

  • 1College of Computer Science and Engineering, Changchun University of Technology, Changchun 130012, China.

Sensors (Basel, Switzerland)
|July 13, 2024
PubMed
概括

本研究引入了一种新的混合模糊逻辑和量子回火算法 (FQA) 协议,以提高无线传感器网络 (WSN) 的能源效率和寿命. 在关键绩效指标上,FQA协议显著优于现有方法.

关键词:
聚类集群是指聚类的聚类.模糊的逻辑模糊的逻辑量子回火算法 量子回火算法路由 路由 路由 路由 路由无线传感器网络 (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
  • 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) 由于依赖电池功率而面临重大限制.
  • 高效的数据传输和延长网络寿命是WSN的关键研究目标.
  • 现有的协议往往难以平衡能源消耗与网络稳定性和寿命.

研究的目的:

  • 为WSNs提出一种新的混合模糊逻辑和基于量子回火算法的集群和路由协议 (FQA).
  • 增强网络稳定性,最大限度地降低WSN中的能源消耗.
  • 延长无线传感器网络的运行寿命.

主要方法:

  • 开发了一种混合协议 (FQA),集成了一个模糊推理系统 (FIS) 来进行集群头 (CH) 选择,以及一个量子回火算法来实现最佳路由.
  • 实施了能耗值,以高效地过CH候选物,减少计算时间.
  • 利用按需重新集群机制进行全球网络维护,与定期集群相比,最大限度地降低了开销.

主要成果:

  • 与FRNSEER,BOA-ACO,OAFS-IMFO和FC-RBAT相比,FQA协议在各种场景中表现出卓越的性能.
  • 在能源消耗,活跃节点数量和整体网络寿命方面观察到显著的改善.
  • 通过拟议的FQA协议实现了增强的吞吐量.

结论:

  • 该FQA协议有效地解决了WSNs的能源消耗和寿命限制.
  • 结合模糊逻辑和量子回火的混合方法为WSN优化提供了一个强大的解决方案.
  • FQA代表了WSN协议设计的重大进步,其性能优于现有的最先进的方法.