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在精准农业中使用基于LoRa的无线传感器网络进行先进的节能环保监测
Višnja Križanović1, Krešimir Grgić1, Josip Spišić1
1Faculty of Electrical Engineering, Computer Science and Information Technology, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia.
Sensors (Basel, Switzerland)
|July 29, 2023
概括
为农业优化无线传感器网络,需要根据数据包大小调整传输速度. 使用较小的6位包可以显著降低环境监测的能源消耗.
科学领域:
- 计算机科学 计算机科学
- 电气工程 电气工程
- 农业技术 农业技术
背景情况:
- 无线传感器网络 (WSNs) 对于环境监测至关重要,特别是在偏远地区.
- 在WSN中的传感器节点依赖于有限的电源,使能效至关重要.
- 由于其远程能力,LoRa (长距离) 技术越来越多地用于WSN.
研究的目的:
- 为提供基于LoRa的WSN近期进展的概述.
- 分析农业环境中传感器节点的能耗.
- 确定优化策略,以减少WSN中的能源使用.
主要方法:
- 进行了农业中传感器节点能耗的现场测量.
- 基于真实世界的数据进行模拟,以分析能源使用情况.
- 研究了数据包大小和传输速度对能源效率的影响.
- 评估数据收集过程和网络无线电参数设置.
主要成果:
- 证明调整传输速度以适应数据包大小可以显著提高能源效率.
- 证明较小的数据包大小,特别是6位数据包,足以在精密农业中收集环境参数.
- 通过优化数据包大小和传输速度设置,显著降低了能源消耗.
结论:
- 优化数据包大小和传输速度对于在WSN中节能的LoRa通信至关重要.
- 与标准的11位数据包相比,使用6位数据包为农业环境监测提供了一种可行且节能的替代方案.
- 研究结果支持开发更可持续,更具成本效益的WSN解决方案,用于精密农业.
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