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相关概念视频

Design Example: Alignment of a Road Line Using GIS01:17

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The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
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无人驾驶飞行器路由基于青跳跃优化算法

Farhad Maleki1, Mohammad Ali Jabraeil Jamali2, Arash Heidari3

  • 1Department of Computer Engineering, Siraj Institute of Higher Education, Tabriz, Iran.

Scientific reports
|April 2, 2025
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概括
此摘要是机器生成的。

本研究引入了一种新的混青跳跃算法 (SFLA) 用于无人机网络路由,显著减少延迟和能源消耗,以实现高效的数据传输.

关键词:
空中飞行器 飞行器青跳跃的算法路由算法路由算法无人驾驶飞行器 (UAV) 是一种无人驾驶飞行器.

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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
  • 人工智能的人工智能

背景情况:

  • 无人驾驶飞行器 (UAV) 网络面临着现有路由算法的挑战,包括高延迟,不良路线选择和能源效率低下.
  • 无人机中的动态网络拓需要适应性路由策略以获得最佳性能.

研究的目的:

  • 提出使用混青跳跃算法 (SFLA) 的新路由策略,以提高无人机网络性能.
  • 通过改进延迟,能源消耗和路线选择来解决当前无人机路由算法的局限性.

主要方法:

  • 实施了两阶段的优化方法,包括全球勘探和当地开采的服务质量 (QoS).
  • 利用SFLA基于人口的自适应性搜索机制,以加速融合和消除过早停滞.
  • 启用动态轨迹调整,使无人机在不断变化的环境中选择最佳路径.

主要成果:

  • 与基准方法相比,能源使用得到了3.11%的改善.
  • 通过优化路由路径,延迟时间减少了5.14%.
  • 通过提高能源节约,增加了2.25%的网络寿命.

结论:

  • 拟议的基于SFLA的路由策略通过优化能源消耗,延迟和吞吐量,有效地提高无人机网络性能.
  • 这种方法非常适合于实时应用,如要求高数据速率和能源效率的空中监视和灾难响应.