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相关实验视频

Updated: Jul 15, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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移动传感器网络的最近邻近节点部署算法

Mahsa Sadeghi Ghahroudi1, Alireza Shahrabi1, Tuleen Boutaleb1

  • 1School of Computing, Engineering and Built Environment, Glasgow Caledonian University, Glasgow G4 0BA, UK.

Sensors (Basel, Switzerland)
|September 28, 2023
PubMed
概括
此摘要是机器生成的。

最近邻部署节点 (NNND) 算法通过使用并行传感器流来增强移动传感器网络 (MSN) 的覆盖范围. 这种方法减少了能源消耗,并提高了故障耐受性,以实现高效的区域覆盖.

关键词:
集体运动是一种集体运动.分布移动传感器网络的分布式移动传感器网络.最接近的邻居.节点部署算法 节点部署算法

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科学领域:

  • 集体运动建模集体运动建模
  • 移动传感器网络 (MSN) 是一种移动传感器网络.
  • 分布式算法 分布式算法

背景情况:

  • 动物聚集体通过地方决策表现出协调的移动.
  • 最接近邻居规则启发了MSN中自动部署算法以覆盖.
  • 传感器运动中的能量消耗是现有算法面临的主要挑战.

研究的目的:

  • 提出最接近邻近节点部署 (NNND) 算法.
  • 为了在MSN中实现高效的全面覆盖.
  • 为了最大限度地减少能源消耗,提高故障耐受性.

主要方法:

  • NNND算法利用不同的区域部分的传感器运动的平行流.
  • 适应性的领导人选择保持了流的凝聚力.
  • 避免碰撞的机制被整合到每个流中.

主要成果:

  • 与顺序方法相比,NNND显示能耗显著降低.
  • 该算法实现了较高的k-覆盖率.
  • 并行处理和多个领导者提高网络稳定性和容错性.

结论:

  • NNND为MSN的区域覆盖提供了一种节能且强大的解决方案.
  • 平行分布式方法克服了现有的顺序算法的局限性.
  • 算法的设计通过消除单个故障点来提高故障容忍度.