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相关概念视频

Manipulation and Analysis01:21

Manipulation and Analysis

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GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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混乱映射狮子优化基于算法的节点定位方法用于无线传感器网络.

Abdelwahed Motwakel1,2, Aisha Hassan Abdalla Hashim1, Hayam Alamro3

  • 1Department of Electrical and Computer Engineering, International Islamic University Malaysia, Kuala Lumpur 53100, Malaysia.

Sensors (Basel, Switzerland)
|November 14, 2023
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种新的基于混乱映射狮子优化算法的节点定位方法 (CMLOA-NLA) 用于无线传感器网络 (WSN). CMLOA-NLA显著提高了节点定位的准确性和效率,达到2.09%的最低平均误差.

关键词:
结节点是指结节点.超启发式优化算法 超启发式优化算法节点本地化 节点本地化帐混沌地图绘制帐无线传感器网络是无线传感器网络.

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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:

  • 无线传感器网络 (WSN) 对各种应用至关重要,包括环境监测和医疗保健.
  • 准确的节点定位 (NL) 是WSN的一个基本挑战,对于目标跟踪和数据路由等应用程序至关重要.
  • 现有的本地化方法往往在准确性和效率方面面临限制.

研究的目的:

  • 为WSNs开发一个先进的节点本地化方法 (NLA).
  • 通过使用混乱映射来提高NL的狮子优化算法 (LOA) 的性能.
  • 引入基于混乱映射狮子优化算法的节点定位方法 (CMLOA-NLA).

主要方法:

  • 在CMLOA-NLA中,使用节点 (AN) 作为参考点来定位未知的传感器节点 (SN).
  • 该算法将帐混沌映射概念集成到标准LOA中,以提高合速度和精度.
  • 进行了广泛的模拟,以评估拟议的CMLOA-NLA技术的性能.

主要成果:

  • 与现有方法相比,CMLOA-NLA在本地化准确性和效率方面取得了显著的改进.
  • 该技术实现了2.09%的最小平均定位误差.
  • CMLOA-NLA 显示出高强度的抗局部化错误和传输范围的变化.

结论:

  • 拟议的CMLOA-NLA是一种有效的技术,可以在WSN中准确有效地定位节点.
  • 混沌映射的集成增强了LOA对NL的优化能力.
  • 对于需要精确传感器定位的关键WSN应用,CMLOA-NLA提供了一个强大的解决方案.