Quality-Driven Volcanic Earthquake Detection Using Wireless Sensor Networks

R. Tan, G. Xing, Jinzhu Chen, Wenzhan Song, Renjie Huang
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引用次数: 93

Abstract

Volcano monitoring is of great interest to public safety and scientific explorations. However, traditional volcanic instrumentation such as broadband seismometers are expensive, power-hungry, bulky, and difficult to install. Wireless sensor networks (WSNs) offer the potential to monitor volcanoes at unprecedented spatial and temporal scales. However, current volcanic WSN systems often yield poor monitoring quality due to the limited sensing capability of low-cost sensors and unpredictable dynamics of volcanic activities. Moreover, they are designed only for short-term monitoring due to the high energy consumption of centralized data collection. In this paper, we propose a novel quality-driven approach to achieving real-time, in-situ, and long-lived volcanic earthquake detection. By employing novel in-network collaborative signal processing algorithms, our approach can meet stringent requirements on sensing quality (low false alarm/missing rate and precise earthquake onset time) at low power consumption. We have implemented our algorithms in TinyOS and conducted extensive evaluation on a testbed of 24 TelosB motes as well as simulations based on real data traces collected during 5.5 months on an active volcano. We show that our approach yields near-zero false alarm/missing rate and less than one second of detection delay while achieving up to 6-fold energy reduction over the current data collection approach.
利用无线传感器网络进行质量驱动的火山地震探测
火山监测对公共安全和科学探索具有重要意义。然而,传统的火山仪器,如宽带地震仪,价格昂贵,耗电大,体积庞大,安装困难。无线传感器网络(WSNs)提供了在前所未有的时空尺度上监测火山的潜力。然而,由于低成本传感器的传感能力有限以及火山活动动态的不可预测性,目前的火山WSN系统往往监测质量较差。此外,由于集中采集数据的高能耗,它们仅用于短期监测。在本文中,我们提出了一种新的质量驱动方法来实现实时、原位和长寿命的火山地震检测。通过采用新颖的网络协同信号处理算法,我们的方法可以在低功耗下满足对传感质量的严格要求(低虚警/漏报率和精确的地震发生时间)。我们已经在TinyOS中实现了我们的算法,并在24个TelosB粒子的测试平台上进行了广泛的评估,以及基于在一座活火山上5.5个月收集的真实数据痕迹的模拟。我们表明,我们的方法产生接近零的误报/缺失率和不到一秒的检测延迟,同时实现比当前数据收集方法节省高达6倍的能量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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