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http://dx.doi.org/10.5762/KAIS.2017.18.1.709

An Experimental Performance Evaluation with Xenomai for WSN  

Son, Tae-Yeong (Division of Computer Engineering, Hoseo University)
Rim, Seong-Rak (Division of Computer Engineering, Hoseo University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.18, no.1, 2017 , pp. 709-714 More about this Journal
Abstract
Structures like bridges or buildings need to be checked continuously to diagnose their safety. However, it is extremely difficult for the people who access such structures to check all areas directly. To overcome this problem, there is a lot of active research into structural health monitoring (SHM) with wireless sensor nodes (WSNs). In this paper, for more accurate checking of SHM with WSNs, we experimentally compare and evaluate the performance of Xenomai, which provides real-time processing under the traditional Linux kernel. For this purpose, we patch Xenomai into the traditional Linux kernel of a commercial embedded board, Raspberry Pi, and implement a task that periodically reads vibration data of the z-axis from an accelerometer in order to analyze the natural frequency of cantilever beams. Reading the data from the traditional Linux kernel with the same method, we analyze the natural frequency of the cantilever beams using Smart Office Analyzer. Finally, to review the validity of Xenomai for WSNs, we obtain vibration data on the z-axis from the accelerometer via wired network and compared and analyzed them the same way.
Keywords
Natural Frequency; Raspberry Pi; SHM(Structural Health Monitoring); WSN(Wireless Sensor Node); Xenomai;
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Times Cited By KSCI : 1  (Citation Analysis)
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