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通过修改的斑马优化,优化了WSN中的节能集群.

Yeshen Lan1,2, Mingqi Kan3, Bingyu Cao4

  • 1School of Mechanical and Electrical Engineering, Quzhou College of Technology, Quzhou, 324000, China.

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概括

本研究介绍了无线传感器网络 (WSN) 的改进斑马优化算法,以优化集群头的选择并提高能源效率. 拟议的方法显著延长了网络寿命,并提高了可靠监控的吞吐量.

关键词:
集群路由是指集群路由的路由.能源消耗 能源消耗是指能源的消耗.物联网的物联网,就是物联网.网络寿命 网络寿命无线传感器网络无线传感器网络斑马优化算法 斑马优化算法

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科学领域:

  • 无线传感器网络 (WSN) 是一种无线传感器网络.
  • 优化算法 优化算法
  • 网络协议 网络协议

背景情况:

  • 能源不平衡和低于最佳的集群头部选择是WSN集群协议中的关键挑战.
  • 现有的协议在有效的资源管理和网络寿命方面扎.
  • 集群头选择的NP-hard性质使协议设计复杂化.

研究的目的:

  • 为WSNs提出一个改进的集群协议,命名为IZOACP,基于增强的斑马优化算法.
  • 通过考虑节点剩余能量,网络密度,集群内部距离和通信延迟来优化集群头的选择.
  • 通过动态自适应型集群间路由机制提高数据传输效率.

主要方法:

  • 将斑马优化算法 (ZOA) 与高斯突变策略和基于对立的学习用于集群头部选择的集成.
  • 使用四个关键指标优化集群过程:剩余能量,网络密度,集群内部距离和通信延迟.
  • 基于节点距离,剩余能量和负载状态的动态自适应型集群间路由机制平衡路径选择的实施.

主要成果:

  • 拟议的IZOACP协议显示了与LEACH,DMaOWOA和ARSH-FATI-CHS相比的显著改进.
  • 网络寿命提高了97.56%,吞吐量增加了93.88%.
  • 传输延迟减少了10.12%,表明数据传输效率提高.

结论:

  • IZOACP为WSN提供了在能源消耗控制和拓稳定性方面卓越的性能.
  • 该协议为WSN信息监控系统中的集群优化提供了一个高效可靠的框架.
  • IZOACP非常适合大规模监控场景,需要持续的网络运行.