LoRa Signal Loss in Rural Areas Dataset

This repository contains datasets consisting of empirical signal loss data in rural areas, like agricultural fields and forests. Purpose is to allow for building more robust LoRa(WAN) signal propagation models. This dataset is part of the publication: "Franz Kuntke, Merve Bektas, Laura Buhleier, Ella Pohl, Rebekka Schiller, Christian Reuter (2023) How Would Emergency Communication Based on LoRaWAN Perform? Empirical Findings of Signal Propagation in Rural Areas Proceedings of Information Systems for Crisis Response and Management (ISCRAM)."本仓库收录了涵盖农村区域（如农田与林地）的经验性信号衰减数据集。本数据集旨在支持构建更为稳健的LoRa(WAN)信号传播模型。该数据集隶属于以下学术成果：Franz Kuntke、Merve Bektas、Laura Buhleier、Ella Pohl、Rebekka Schiller、Christian Reuter于2023年发表于《危机响应与管理信息系统国际会议（ISCRAM）》的论文《基于LoRaWAN的应急通信表现如何？农村区域信号传播的实证发现》。

搜集汇总

背景与挑战

背景概述

该数据集包含农村地区（如农田和森林）的LoRa(WAN)信号损失经验数据，旨在支持构建更稳健的信号传播模型，适用于应急通信研究和相关技术评估。数据集发布于2022年，涵盖多种文件类型，包括设置和附加材料，重点聚焦于LoRa技术在乡村环境中的实际性能分析。