基于LPWAN的农业车辆跟踪应用程序上的LoRa和NB-IoT技术的覆盖范围分析
1Electrical and Electronics Engineering Department, Necmettin Erbakan University, 42090 Konya, Türkiye.
Sensors (Basel, Switzerland)
|November 14, 2023
概括
本研究评估了LoRa和NB-IoT用于农用车辆跟踪,发现它们的覆盖范围因环境而异. 这项研究利用汽车互联网技术增强了智能农场的连接性.
科学领域:
- 农业技术 农业技术
- 无线通信系统无线通信系统
- 汽车的互联网 (IoV)
背景情况:
- 车辆互联网 (IoV) 是连接运输系统的一个新兴概念.
- 低功耗广域网 (LPWAN) 对于需要远程,低功耗通信的物联网应用至关重要.
- 综合跟踪系统对于现代农业机械管理至关重要.
研究的目的:
- 调查LoRa和NB-IoT用于农用车辆跟踪的理论覆盖范围.
- 评估LPWAN技术在不同环境 (城市,郊区,农村) 中的可行性,用于智能农场.
- 为增强基于LPWAN的农用车辆跟踪系统提供见解.
主要方法:
- 设计并使用了两个用于LoRa和NB-IoT的车辆跟踪单元 (VTU).
- 使用Hata路径损失模型,获得最大传输范围的分析表达式.
- 用无线电规划工具数据 (XIRIO) 验证的计算机模拟结果.
主要成果:
- 在城市,郊区和农村环境中确定了LoRa和NB-IoT的理论覆盖范围.
- 使用LPWAN量化了农用车辆跟踪的最大传输范围.
- 确定了影响IOV应用LPWAN性能的环境因素.
结论:
- 洛拉和NB-IoT显示了智能农场中农业车辆跟踪的潜力.
- 覆盖范围分析为优化农业中的LPWAN部署提供了基础.
- 进一步的评估可以提高这些技术的实际可行性,以加强农场管理.
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