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相关概念视频

Cluster Sampling Method01:20

Cluster Sampling Method

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Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
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Sampling Plans01:23

Sampling Plans

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Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
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Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

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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: Jul 19, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Published on: September 8, 2023

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一个基于分布式粒子群集优化的模糊集群协议,用于无线传感器网络.

Chuhang Wang1

  • 1College of Computer Science and Technology, Changchun Normal University, Changchun 130032, China.

Sensors (Basel, Switzerland)
|August 12, 2023
PubMed
概括
此摘要是机器生成的。

本研究介绍了DPFCP,这是一种用于无线传感器网络 (WSN) 的新型协议. 通过优化集群头选择和平衡节点之间的能源消耗,DPFCP提高了能源效率和网络寿命.

关键词:
聚类集群是指聚类的聚类.能源效率是指能效的能源效率.模糊的逻辑模糊的逻辑网络寿命 网络寿命粒子群集优化 粒子群集优化

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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) 面临着严重的能源限制,需要有效的能源保护和网络寿命最大化.
  • 现有的集群方法在能源效率和负载平衡方面扎,限制了WSNs的运行寿命.
  • 有效的能源管理对于WSN的持续性能和可靠性至关重要.

研究的目的:

  • 为WSNs提出一种基于分布式粒子群优化的新模糊聚类协议 (DPFCP).
  • 提高能源效率和平衡能源消耗,以延长整体网络寿命.
  • 使用智能算法优化集群头选择和集群形成.

主要方法:

  • 开发了一个基于分布式粒子群优化的模糊聚类协议 (DPFCP).
  • 采用Mamdani模糊逻辑系统,根据剩余能量,节点程度和距离来指定集群头 (CH).
  • 利用粒子群集优化 (PSO) 来优化模糊规则和集群维护的按需机制.

主要成果:

  • 与现有协议相比,DPFCP显著改善了能源消耗,平均减少了13.06%至38.20%.
  • 与基准协议相比,网络寿命延长了10.99%,达到46.19%.
  • 在整个网络中将残留能量的标准偏差降低了19.39%至61.88%,表明了更好的能量平衡.

结论:

  • 拟议的DPFCP协议有效地平衡了WSN中的能源消耗.
  • DPFCP显著提高了整体网络性能,并最大限度地提高了网络寿命.
  • 模糊规则和集群形成的智能优化有助于在WSN中实现卓越的能源管理.