International Journal of Sensor Networks and Data Communications

Department of Mechanical and Materials Engineering, Smith Engineering, Queen’s University, Kingston, ON, K7L 3N6, Canada

Publications

• Research Article   
  Comparative Study of Operating Modes for Low-power Wireless Sensor Networks in Vibration-based Machine Condition Monitoring
  Author(s): David Alexander Ells*, Christopher Mechefske and Yongjun Lai
  
  Wireless Sensor Networks (WSNs) can be used for machine condition monitoring to improve performance and safety. However, they present challenges with respect to energy and data management. This paper presents a novel low-power WSN and compares the performance of operating modes and data processing methods for vibration-based machine condition monitoring. The necessary software was developed to perform time and frequency analysis, and a data reduction method was proposed to reduce the data packet size. The performance of the WSN end node was then tested, and its energy consumption was compared for different operating modes. Testing showed that the end node was capable of performing basic vibration analysis. However, contrary to expectations and other reports, results showed that processing data locally to reduce the packet size consumed more energy than transmit.. Read More»
  DOI: 10.37421/2090-4886.2023.12.239

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