IoT has a significant role in the smart campus. This paper presents a detailed description of the Smart Campus dataset based on LoRaWAN. LoRaWAN is an emerging technology that enables serving hundreds of IoT devices. First, we describe the LoRa network that connects the devices to the server. Afterward, we analyze the missing transmissions and propose a k-nearest neighbor solution to handle the missing values. Then, we predict future readings using a long short-term memory (LSTM). Finally, as one example application, we build a deep neural network to predict the number of people inside a room based on the selected sensor's readings. Our results show that our model achieves an accuracy of $95 \: \%$ in predicting the number of people. Moreover, the dataset is openly available and described in detail, which is opportunity for exploration of other features and applications.

翻译：物联网在智慧校园中扮演着重要角色。本文详细介绍了基于LoRaWAN的智慧校园数据集。LoRaWAN作为新兴技术，能够支持数百个物联网设备的服务。首先，我们描述了将设备连接至服务器的LoRa网络架构。随后，分析了数据缺失传输问题，并提出基于k近邻的缺失值处理方法。接着，采用长短期记忆网络（LSTM）预测未来读数。最后，作为应用示例，我们构建了深度神经网络，根据选定传感器读数预测室内人数。实验结果表明，该模型在人数预测任务中达到了95%的准确率。此外，该数据集已公开并提供详尽描述，为探索其他特征及应用场景提供了良好契机。