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A holistic approach to decentralized structural damage localization using wireless sensor networks

机译：使用无线传感器网络进行分散式结构损伤定位的整体方法

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摘要

Wireless sensor networks (WSNs) have become an increasingly compelling platform for Structural Health Monitoring (SHM) applications, since they can be installed relatively inexpensively onto existing infrastructure. Existing approaches to SHM in WSNs typically address computing system issues or structural engineering techniques, but not both in conjunction. In this paper, we propose a holistic approach to SHM that integrates a decentralized computing architecture with the Damage Localization Assurance Criterion algorithm. In contrast to centralized approaches that require transporting large amounts of sensor data to a base station, our system pushes the execution of portions of the damage localization algorithm onto the sensor nodes, reducing communication costs by two orders of magnitude in exchange for moderate additional processing on each sensor. We present a prototype implementation of this system built using the TinyOS operating system running on the Intel Imote2 sensor network platform. Experiments conducted using two different physical structures demonstrate our system's ability to accurately localize structural damage. We also demonstrate that our decentralized approach reduces latency by 65.5% and energy consumption by 64.0% compared to a typical centralized solution.
机译：无线传感器网络（WSN）已成为结构健康监控（SHM）应用程序中越来越引人注目的平台，因为它们可以相对便宜地安装在现有基础架构上。 WSN中现有的SHM方法通常解决计算系统问题或结构工程技术，但不能同时解决两者。在本文中，我们提出了一种整体的SHM方法，该方法将分散的计算体系结构与损害定位保证标准算法集成在一起。与需要将大量传感器数据传输到基站的集中式方法相比，我们的系统将部分损坏定位算法的执行推到了传感器节点上，从而将通信成本降低了两个数量级，以换取对传感器进行适度的附加处理。每个传感器。我们提出了使用在Intel Imote2传感器网络平台上运行的TinyOS操作系统构建的该系统的原型实现。使用两种不同的物理结构进行的实验证明了我们的系统能够准确定位结构损坏的能力。我们还证明，与典型的集中式解决方案相比，我们的分散式方法将延迟降低了65.5％，能耗降低了64.0％。

著录项

  • 来源
    《Computer Communications》 |2012年第1期|29-41|共13页
  • 作者

    Gregory Hackmann; Fei Sun; Nestor Castaneda; Chenyang Lu; Shirley Dyke;

  • 作者单位

    Washington University in St Louis, Department of Computer Science and Engineering, Campus Box 1045, One Brookings Drive, St. Louis, MO 63130, United States;

    Washington University in St Louis, Department of Computer Science and Engineering, Campus Box 1045, One Brookings Drive, St. Louis, MO 63130, United States;

    Purdue University, Department of Civil Engineering, 550 Stadium Mall Drive, West Lafayette, IN 47907, United States;

    Washington University in St Louis, Department of Computer Science and Engineering, Campus Box 1045, One Brookings Drive, St. Louis, MO 63130, United States;

    Washington University in St Louis, Department of Computer Science and Engineering, Campus Box 1045, One Brookings Drive, St. Louis, MO 63130, United States;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    structural health monitoring; wireless sensor networks; decentralized; DLAC;

    机译：结构健康监测;无线传感器网络;去中心化DLAC;

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