A high quality event capture scheme for WSN-based structural health monitoring

Chao Yang, Jiannong Cao, Xuefeng Liu, Lijun Chen, Daoxu Chen
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引用次数: 2

Abstract

In recent years, there has been an increasing interest in the adoption of wireless sensor networks (WSNs) for structural health monitoring (SHM). However, considering the large amount of sampled data, limited power supply and wireless bandwidth of WSNs, it is generally not possible for sensor nodes to monitor structural condition continuously especially for long-term SHM. From SHM perspective, it is highly desirable to collect data during the occurrence of some certain kinds of events such as earthquakes, large wind, etc, since data collected during these periods are more informative for damage detection purpose. However, these events in SHM occur infrequently and if happen, only last for a very short period of time. To effectively capture these short events using energy-limited wireless sensor nodes is a challenging task that has not been addressed in literature. In this paper, we propose a fast and reliable scheme to capture these short-term events. In terms of hardware, the radio-triggered unit and the vibration-triggered unit are designed in our motes. From software perspective, we develop the event capture scheme to realize fast, reliable and energy-efficient event detection under noisy environment. We mainly study the very first problem of the scheme: sentry selection. The optimization problem is formulated and we show that the problem is a general case of the classical k-center problem. Then we propose a greedy algorithm to solve this problem, and conduct simulation to test the effectiveness of the proposed algorithm.
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基于wsn的结构健康监测的高质量事件捕获方案
近年来,人们对采用无线传感器网络(wsn)进行结构健康监测(SHM)越来越感兴趣。然而,考虑到wsn的采样数据量大,供电和无线带宽有限,传感器节点通常不可能连续监测结构状态,特别是长期SHM。从SHM的角度来看,在某些特定类型的事件(如地震、大风等)发生时收集数据是非常可取的,因为在这些时期收集的数据对损伤检测更有帮助。然而,这些事件在SHM中很少发生,即使发生,也只持续很短的时间。利用能量有限的无线传感器节点有效捕获这些短事件是一项具有挑战性的任务,在文献中尚未解决。在本文中,我们提出了一个快速可靠的方案来捕获这些短期事件。在硬件方面,我们设计了无线电触发单元和振动触发单元。从软件角度出发,开发了事件捕获方案,实现了噪声环境下快速、可靠、节能的事件检测。我们主要研究了该方案的第一个问题:哨兵的选择。给出了优化问题的公式,并证明了该问题是经典k中心问题的一般情况。然后,我们提出了一种贪心算法来解决这个问题,并通过仿真来验证所提出算法的有效性。
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