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在无线传感器网络 (WSN) 中使用草优化算法 (GOA) 的基于集群树的可信路由算法.

Mehdi Hosseinzadeh1,2,3, Omed Hassan Ahmed4, Jan Lansky5

  • 1Institute of Research and Development, Duy Tan University, Da Nang, Vietnam.

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概括
此摘要是机器生成的。

本研究介绍了CTTRG,这是一种用于无线传感器网络 (WSN) 的新型路由方法,同时可以确保能源效率和安全性. CTTRG有效地检测恶意节点,并通过平衡寿命和安全性来提高网络性能.

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科学领域:

  • 计算机科学 计算机科学
  • 网络安全 网络安全
  • 无线传感器网络 无线传感器网络

背景情况:

  • 无线传感器网络 (WSN) 中现有的路由协议通常单独解决能源效率或安全问题.
  • 许多WSN应用需要同时保证能源效率和网络安全.
  • 由于传感器节点的能量有限,网络寿命和安全性之间的权衡往往是必要的.

研究的目的:

  • 为WSN提出一个全面的基于集群树的可信路由方法,将能源效率和安全整合在一起.
  • 开发一种新的路由方案,通过同时考虑两个关键方面来解决现有协议的局限性.
  • 提高WSN在各种应用场景中的整体性能和可靠性.

主要方法:

  • 引入基于集群树的可信路由方法,称为CTTRG.
  • 实现分布式时间变量信任 (TVT) 模型,以评估基于黑洞,虫洞和洪水概率的传感器节点行为.
  • 利用Grasshopper优化算法 (GOA) 构建可信的路由树 (GTRT) 以确保安全的通信路径.
  • 设计一个多目标健身功能,评估集群头部距离,信任水平和能量.

主要成果:

  • CTTRG证明了对恶意节点的有效检测.
  • 拟议的方法显示,减少了数据包丢失率.
  • 与现有方法相比,CTTRG实现了较低的端到端延迟.
  • 评估证实了CTTRG在提高WSN安全性和效率方面的适当和成功表现.

结论:

  • CTTRG提供了一个强大的解决方案,用于WSN的安全和节能路由.
  • 集成TVT模型和基于GOA的路由树可以显著提高网络安全性和稳定性.
  • 这些发现强调了在WSN中设计路由协议的整体方法的重要性.