基于RSSI的LoRaWAN数据集是在动态和恶劣的工业环境中收集的,湿度高
Azin Moradbeikie1,2,3, Mojtaba Zare4,5, Ahmad Keshavarz3
1CiTin - Centro de Interface Tecnológico Industrial, Inovarcos, 4970-786 Arcos de Valdevez, Portugal.
Data in brief
|February 13, 2024
概括
本研究介绍了来自LoRaWAN网络在恶劣的工业港口环境中的接收信号强度指标 (RSSI) 测量的数据集. 这些数据有助于开发和评估基于信号的设备定位技术,以应对具有挑战性的环境.
科学领域:
- 工程 工程师 工程师 工程师
- 计算机科学 计算机科学
- 无线通信无线通信
背景情况:
- 精确的设备定位对于工业应用至关重要,信号功能为全球导航卫星系统 (GNSS) 提供了替代方案.
- LoRaWAN网络提供适合工业物联网的远程,低成本和低功耗通信,但接收信号强度 (RSS) 对动态环境敏感.
- 恶劣的工业环境会扩大RSS的敏感性,原因是温度,湿度和噪音等环境因素,这对准确的定位构成了挑战.
研究的目的:
- 在一个具有挑战性的工业港口环境中提供收到信号强度指标 (RSSI) 测量的综合数据集.
- 为了研究RSSI对环境的影响及其对设备定位准确性的影响.
- 为工业物联网提供基于RSSI的本地化算法的开发和评估提供便利.
主要方法:
- 采集了RSSI和信号对噪声比 (SNR) 测量,使用三个LoRaWAN网关和一个配备GPS的移动端节点来进行位置数据的测量.
- 部署了两个固定端节点,定期发送以捕获额外的数据点.
- 记录的测量,包括每个传输的数据包的时间,网关ID和终端节点ID.
主要成果:
- 在一个动态的工业港口环境中编制了LoRaWAN RSSI和SNR测量的综合数据集.
- 数据集捕捉了环境动态对信号强度的影响,这对于定位准确性至关重要.
- 为研究人员开发和测试本地化算法提供了宝贵的资源.
结论:
- 收集的数据集对于在恶劣的工业环境中推进基于RSSI的本地化至关重要.
- 进一步的研究可以利用这些数据来克服动态环境因素带来的挑战.
- 通过使用LoRaWAN信号来探索可靠和准确的设备本地化机会.
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