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适应性干扰缓解集群节能LoRa-BLE混合无线传感器网络.

Carolina Del-Valle-Soto1, Leonardo J Valdivia1, Ramiro Velázquez2

  • 1Facultad de Ingeniería, Universidad Panamericana, Álvaro del Portillo 49, Zapopan 45010, Jalisco, Mexico.

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概括

本研究介绍了使用LoRa和蓝牙低能 (BLE) 的无线传感器网络 (WSN) 的自适应干扰缓解算法. 混合方法提高了网络弹性和能源效率,防止干扰攻击.

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适应性协议切换的切换方式节能通信是节能有效的通信.不同质的无线传感器网络.干扰减缓 干扰减缓

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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
  • 网络安全 网络安全

背景情况:

  • 无线传感器网络 (WSNs) 对物联网 (IoT) 应用至关重要,但容易受到干扰攻击.
  • 干扰降低了WSN的可靠性和能源效率,阻碍了关键的物联网功能.
  • 整合多个通信协议的异质WSN为增强弹性提供了潜力.

研究的目的:

  • 为异质WSNs提出和评估一种新的基于集群的适应性干扰缓解算法.
  • 增强WSNs的弹性,能源效率和数据传输可靠性,防止干扰攻击.
  • 为了利用LoRa和蓝牙低能耗 (BLE) 技术的整合来缓解干扰.

主要方法:

  • 开发了一种基于集群的适应性算法,用于组合LoRa和BLE的异质WSN.
  • 实现基于实时网络条件的通信协议之间的动态切换.
  • 利用实时网络拓调整和适应式传输功率控制来缓解干扰.

主要成果:

  • 在阻塞条件下,能耗降低高达38%.
  • 与单一协议网络相比,数据包转发率降低了47%.
  • 证明了混合LoRa-BLE方法的优越网络弹性,适应性和持续数据传输,而不是独立配置.

结论:

  • 拟议的多协议干扰缓解策略显著提高了WSN在攻击下的性能.
  • 混合LoRa-BLEWSN为面临干扰的物联网应用提供了更强大,更节能的解决方案.
  • 这项工作为智能城市和工业物联网中更安全,更可靠的WSN部署铺平了道路.