We propose to employ a recently developed IoT-based wireless technology, so called low-power wide-area networks (LPWANs), to exploit their long range, low power, and inherent compatibility to cloud storage and computing. We create a remotely-operated minimum-maintenance wireless solution for four major seismic applications of interest. By proposing appropriate network architecture and data coordination (aggregation and transmission) designs we show that neither the low data-rate nor the low duty-cycle of LPWANs impose fundamental issues in handling a considerable amount of data created by complex seismic scenarios as long as the application is delay-tolerant. In order to confirm this claim, we cast our ideas into a practical large-scale networking design for simultaneous seismic monitoring and interferometry and carry out an analysis on the data generation and transmission rates. Finally, we present some results from a small-scale field test in which we have employed our IoT-based wireless nodes for real-time seismic quality control (QC) over clouds.

翻译：本文提出采用近期开发的物联网无线技术，即低功耗广域网（LPWAN），以发挥其远距离、低功耗及与云存储/计算天然兼容的优势。我们针对四种关键地震学应用场景，构建了一套远程操控、低维护成本的无线解决方案。通过设计合理的网络架构与数据协调机制（包括数据聚合与传输），我们证明：只要应用场景允许延迟容忍，LPWAN的低数据传输速率和低占空比特性并不会对复杂地震场景产生的大量数据造成根本性处理障碍。为验证这一论断，我们将方案具体化为一个面向同步地震监测与干涉测量的实际大规模网络设计，并对数据生成速率与传输效率进行了分析。最后，我们展示了小规模现场试验结果——该试验采用了基于物联网的无线节点实现云端实时地震质量控制（QC）。