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相关概念视频

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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In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...
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A three-dimensional force system refers to a scenario in which three forces act simultaneously in three different directions. This type of problem is commonly encountered in physics and engineering, where it is necessary to calculate the resultant force on the system, which can then be used to predict or analyze the behavior of the object or structure under consideration.
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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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In mechanical engineering, one-degree-of-freedom systems form the basis of a wide range of electrical and mechanical components. Using these models, engineers can predict the behavior of various parts in a larger system, which gives them insight into how different forces interact with each other.
A one-degree-of-freedom system is defined by an independent variable that determines its state and behavior. One example of a one-degree-of-freedom system is a simple harmonic oscillator, such as a...
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Solving problems related to two-dimensional force systems is an essential aspect of mechanics and engineering. By applying the principles of vector analysis and force equilibrium, one can determine the effect of multiple forces acting on an object in a two-dimensional space.
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基于在无线传感器网络中跳跃自适应灰狼优化器的3D覆盖的Node协作策略.

Minghua Wang1,2, Zhuowen Wu1, Bo Fan1

  • 1School of Electrical Engineering, University of South China, Hengyang 421001, China.

Sensors (Basel, Switzerland)
|December 31, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了三维自信信息覆盖 (3DCIC) 模型和用于无线传感器网络 (WSN) 的跳跃自适应灰狼优化器 (HAGWO). 这些创新显著提高了3D覆盖性能,并优化了节点部署.

关键词:
跳跃自适应灰狼优化器调度算法的日程安排算法三维可信信息覆盖范围模型三维覆盖范围的三维覆盖范围

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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:

  • 覆盖率优化是无线传感器网络 (WSN) 的一个关键挑战.
  • 三维 (3D) 覆盖模型对于现实的应用,如智能城市管理,至关重要.
  • 现有的模型往往无法在复杂的3D环境中最大化覆盖效率.

研究的目的:

  • 提出一个新的三维可靠信息覆盖 (3DCIC) 模型,以加强WSN覆盖范围.
  • 使用先进的元启发算法开发一个优化的节点部署策略.
  • 提高3D WSNs的整体覆盖性能和效率.

主要方法:

  • 该研究引入了三维自信信息覆盖 (3DCIC) 模型,利用多节点合作信息重建.
  • 为节点部署优化而开发了一个跳跃自适应灰狼优化器 (HAGWO),结合了自适应和基于对立的学习.
  • 提出的HAGWO算法是基于灰狼优化器 (GWO) 的,并应用于优化节点在3D空间中的位置.

主要成果:

  • 与传统的二元球形模型相比,3DCIC模型显著改善了覆盖范围.
  • 在四面体,六面体和八面体部署下,覆盖范围分别为2.78x,4.41x和4.00x.
  • 哈格沃算法在优化节点部署以获得更高覆盖率方面被证明是有效的,并且在经典测试函数上表现良好.

结论:

  • 拟议的3DCIC模型有效地增强了3D WSNs中的传感器节点的感知领域.
  • 哈格沃算法提供了一种有效的方法来优化3D WSNs中的节点部署,从而大幅改善覆盖范围.
  • 这项研究在3D WSN覆盖率优化方面取得了重大进展,用于智能城市管理等应用.