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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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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?
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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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一个基于车辆边缘网络近距离策略优化的车辆辅助计算卸载算法.

Geng Chen1, Xianjie Xu1, Qingtian Zeng1

  • 1College of Electronic and Information Engineering, Shandong University of Science and Technology, 266590 Qingdao, China.

Mobile networks and applications : MONET
|November 28, 2024
PubMed
概括

一个新的车辆辅助计算卸载算法 (VCOPPO) 增强了汽车互联网 (IoV) 网络. 它优化了任务处理和资源分配,改善了网络奖励,并减少了连接设备的延迟.

关键词:
计算卸载 计算卸载激励机制是一种激励机制.车辆的互联网汽车的互联网网络公用事业公司 网络公用事业公司邻近政策优化 (PPO)任务处理延迟 任务处理延迟

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科学领域:

  • 计算机科学 计算机科学
  • 人工智能的人工智能
  • 网络化 网络化 网络化

背景情况:

  • 汽车互联网 (IoV) 面临着越来越多的设备连接和任务处理需求的挑战.
  • 传统的车辆边缘网络 (VEN) 难以有效地管理众多智能设备的计算资源.

研究的目的:

  • 提出一种新的车辆辅助计算卸载算法 (VCOPPO),用于 IoV 环境中的用户设备 (UE) 任务.
  • 解决VEN.中大规模设备访问和实时任务处理的挑战.

主要方法:

  • 制定了一个考虑VEN实用性和任务处理延迟的非凸优化问题,对能量和传输速率有限制.
  • 开发了VCOPPO算法,集成动态停车车辆激励和计算资源分配.
  • 在VCOPPO中使用随机策略来确定最佳的计算卸载决策和资源分配方案.

主要成果:

  • 与DQN,DQN和Q-learning相比,VCOPPO在网络奖励和任务处理延迟方面表现出卓越的表现.
  • 实现了显著的改进:网络奖励增加了31%,18%和91%.
  • 与基准算法相比,任务处理延迟分别减少了78%,63%和74%.

结论:

  • 在IoV网络中,VCOPPO有效地安排和分配计算资源.
  • 拟议的算法提供了一个强大的解决方案,用于在不断增长的连接性中提高VEN性能.
  • 在优化网络奖励和最大限度地减少任务延迟方面,VCOPPO显著优于现有的方法.