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无电池的基于LoRa的传感器的自适应算法

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这项研究优化了使用自适应LoRa传输的无电池物联网 (IoT) 传感器. 我们分析了电力消耗,并调整了网络参数,以提高能源采集系统的性能和可靠性.

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科学领域:

  • 无线传感器网络 无线传感器网络
  • 能源采集系统 能源采集系统
  • 物联网 (IoT) 的互联网.

背景情况:

  • 无电池传感器提供可持续的,具有成本效益的物联网解决方案,维护成本减少.
  • 物联网 (IoT) 依赖于节能传感器进行广泛部署.
  • 洛拉协议是远程,低功耗物联网通信的关键技术.

研究的目的:

  • 为了提高由环境能量供电的无电池物联网传感器的性能.
  • 研究基于LoRa的无电池传感器的自适应传输算法.
  • 在可持续物联网设备中优化能源存储并最大限度地减少能源故障.

主要方法:

  • 在传感器测量和传输过程中表征设备功耗.
  • 动态调整的网络参数 (传输时间,数据冗余,数据包大小).
  • 设计基于可再生能源的容量储存,并使用理论模型和真实轨迹分析了能源故障概率.

主要成果:

  • 通过自适应传输算法,优化了无电池物联网设备的运行.
  • 基于能源特征和储能能力的量化能量故障概率.
  • 提供了系统组件的成本分析,包括电容器和太阳能电池板.

结论:

  • 适应式传输算法显著提高了无电池物联网传感器性能.
  • 适当的储能量度对于满足能源采集物联网系统的可靠性限制至关重要.
  • 这些发现引导设计更强大,更具成本效益的可持续物联网解决方案.