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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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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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一个可调节的无线回程链接选择算法,用于LEO-UAV-传感器基于远程物联网网络的远程物联网.

Rui Chen1,2, Wennai Wang1, Wei Wu1

  • 1Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, College of Telecommunication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210049, China.

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概括

本研究介绍了一种可调节的算法,用于在远程物联网 (IoRT) 网络中选择无线回程链接. 它优化了传感器,无人机和低地球轨道卫星之间的数据传输,以提高性能.

关键词:
远程物联网 (IoRT) 的互联网背链链路选择选择背链链路选择低地球轨道 (LEO) 卫星多服务支持支持多服务.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
  • 电气工程 电气工程
  • 网络工程 网络工程

背景情况:

  • 远程物联网 (IoRT) 网络面临着无人驾驶飞行器 (UAV) 和低地球轨道 (LEO) 卫星之间的动态回程链接的挑战.
  • 由于高流动性,快速变化的链路条件会影响数据传输和系统性能.
  • 多服务 IoRT 应用程序的多样化服务质量 (QoS) 要求需要高效的链接管理.

研究的目的:

  • 为基于LEO-UAV传感器的IoRT网络提出一个可调节的无线回程链路选择算法.
  • 优化选择的回程链路,同时考虑剩余的服务时间和容量.
  • 为了提高整体系统性能和平衡多服务 IoRT 环境中的卫星负载.

主要方法:

  • 开发了一种优化模型,用于选择后网链路,其目标函数 Q 集成了剩余的服务时间和容量.
  • 使用快照方法将动态网络拓转换为静态网络拓以进行分析.
  • 设计了一个启发式优化算法来解决链接选择问题.

主要成果:

  • 与传统的最大服务时间和最大容量算法相比,拟议的算法证明了优越的系统性能.
  • 数字模拟表明卫星超载的分布更为平衡.
  • 该算法通过动态参数调整有效地实现了剩余服务时间和容量之间的权衡.

结论:

  • 可调节的回程链路选择算法对于多服务IoRT场景是有效的.
  • 拟议的方法提高了动态LEO-UAV-传感器网络中的系统性能和负载平衡.
  • 参数的动态调整允许灵活优化IoRT回程链路.