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相关概念视频

Optimal Foraging00:48

Optimal Foraging

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How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
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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.
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Numerous practical applications within engineering disciplines, such as telecommunications, necessitate optimizing power delivery to a connected load. This pursuit, however, entails inherent internal losses, which can either equal or exceed the power supplied to the load. The Thevenin equivalent circuit is helpful in finding the maximum power a linear circuit can deliver to a load. It is assumed in this context that the load resistance can be adjusted.
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The principle of power preservation is applicable to both ac and dc circuits. This principle, when applied to AC power, asserts that the complex, real, and reactive powers produced by the source are equal to the total complex, real, and reactive powers absorbed by the loads. When two load impedances are connected in parallel to an ac source V, the complex power provided by the source can be calculated using the relation
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The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
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Updated: May 7, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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在无线传感器网络中,基于非洲优化算法的节能集群方案.

Mohit Kumar1, Ashwani Kumar2, Sunil Kumar3

  • 1Department of Information Technology, School of Computing, MIT Art, Design and Technology University, Pune, 412201, India.

Scientific reports
|December 29, 2024
PubMed
概括

本研究介绍了基于非洲优化算法的无线传感器网络 (WSN) 的能源效率集群计划 (AVOACS). 通过智能集群,AVOACS通过优化能源消耗来提高网络稳定性和寿命.

关键词:
AVOAA AVOAA 这是一个很好的选择.在CMD中,CMD是指CMD.集群负责人 集群负责人传感器网络 传感器网络这就是WSNs.

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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

背景情况:

  • 能源效率对于无线传感器网络 (WSN) 的寿命和稳定性至关重要.
  • 能源耗尽仍然是WSN运营的重大挑战,影响网络性能和寿命.

研究的目的:

  • 为WSNs提出一个新的能源效率集群计划 (EECS).
  • 通过使用非洲优化算法 (AVOA) 提高网络稳定性,寿命和吞吐量.

主要方法:

  • 开发了基于EECS的非洲优化算法 (AVOACS).
  • AVOACS 包含了改善集群的四个关键参数:通信模式,下沉节点距离,剩余能量和集群内部距离.
  • 使用AVOACS进行集群头 (CH) 选择,模仿的清理行为以实现平衡的能源消耗.

主要成果:

  • 与OE2-LB协议相比,AVOACS显示了显著的改进.
  • 实现了稳定性增加21.5%,网络寿命增加31.4%,吞吐量增加16.9%.
  • 该算法有效地平衡了网络节点之间的能源消耗.

结论:

  • AVOACS是一种有效的集群算法,用于在异质WSN环境中节能运行.
  • 拟议的方法显著提高了整体网络性能,并延长了网络的寿命.
  • AVOACS为克服WSN中的能源耗尽挑战提供了一个有希望的解决方案.