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相关概念视频

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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Short-distance Transport of Resources02:12

Short-distance Transport of Resources

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Short-distance transport refers to transport that occurs over a distance of just 2-3 cells, crossing the plasma membrane in the process. Small uncharged molecules, such as oxygen, carbon dioxide, and water, can diffuse across the plasma membrane on their own. In contrast, ions and larger molecules require the assistance of transport proteins due to their charge or size. Transport across membranes also occurs within individual cells, playing a variety of essential roles for the plant as a whole.
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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...
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Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

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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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Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

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Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
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Statically Indeterminate Problem Solving01:16

Statically Indeterminate Problem Solving

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Statically indeterminate problems are those where statics alone can not determine the internal forces or reactions. Consider a structure comprising two cylindrical rods made of steel and brass. These rods are joined at point B and restrained by rigid supports at points A and C. Now, the reactions at points A and C and the deflection at point B are to be determined. This rod structure is classified as statically indeterminate as the structure has more supports than are necessary for maintaining...
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相关实验视频

Updated: Jun 3, 2025

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
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用多种物联网设备在空间-空中-地面网络中进行资源配置的多目标优化.

Yongnan Xu1, Xiangrong Tang1, Linyu Huang1

  • 1College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China.

Sensors (Basel, Switzerland)
|January 11, 2025
PubMed
概括

本研究涉及使用太空空地集成网络 (SAGIN) 的物联网 (IoT) 远程信号传输. 一个新的算法优化了无人机部署和资源分配,以公平地向卫星传输高容量的数据.

关键词:
无人机无人驾驶飞行器 (UAV) 是一个物联网的东西互联网.多目标优化进化算法多目标优化进化算法空间空气地面综合网络.系统容量的系统容量.

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科学领域:

  • 通信工程 通信工程
  • 网络优化 网络优化
  • 无线传感器网络 无线传感器网络

背景情况:

  • 物联网 (IoT) 的扩张需要为缺乏传统基础设施的偏远地区提供强大的通信解决方案.
  • 太空空地面综合网络 (SAGIN) 通过结合空中,地面和太空组件提供了一个有前途的框架.
  • 无人机 (UAV) 越来越多地被用作SAGIN中的移动继电器,以从物联网设备有效收集数据.

研究的目的:

  • 在SAGIN框架内,最大限度地提高各种物联网设备类别的最低上联通道容量.
  • 解决物联网设备之间公平资源分配的多目标优化挑战.
  • 开发一个有效的算法,以优化无人机部署,带宽分配和设备-无人机关联.

主要方法:

  • 制定一个多目标优化问题,以最大限度地提高物联网类别的最低上联通道容量.
  • 提出了一种新的多目标进化算法,旨在公平地分配资源.
  • 通过对传统的多目标优化算法进行比较分析验证八种不同的场景.

主要成果:

  • 与现有方法相比,拟议的算法实现了更高的帕雷托前线 (PF),这表明解决方案质量得到了提高.
  • 证明了更好的融合率,这意味着在资源分配中算法效率更高.
  • 实验结果证实了算法的有效性,确保在竞争的物联网设备之间公平地分配资源.

结论:

  • 开发的多目标进化算法有效地优化了SAGIN中的资源配置,以增强物联网连接.
  • 算法的产生高质量的帕雷托前线的能力为动态信号采集要求提供了可适应的解决方案.
  • 这项研究有助于克服偏远地区的信号传输挑战,促进更广泛的物联网部署.