International Journal of Sensor Networks and Data Communications

ISSN: 2090-4886

Open Access

Articles in press and Articles in process

    Short Communication Pages: 1 - 2

    Becoming Technologist; Shaping Digital- Inclusive Learning Spaces

    Anne B. Reinertsen*

    I wrote the article about fuzzytechie languaging with a wish to transcend a potential deadlock in digitalization and digital pedagogies, uncovering the lived experience of bias and procedural inequity. However, inequity, inequality and  discrimination buried in institutional policies and procedures, technologies, or rules and regulations, are difficult to uncover in any direct manner. They are often unconscious and/or hidden in what we take for granted. Furthermore, the collection of information or data regarding minority progress in schools with respect to grades or other aspects of performance, or even micro-aggressions, is customarily done quantitatively, hence with methods that might obscure or even shield privilege embodied in majority-constructed policies. Digitalization and the algorithms we build from might also amplify such conditions and cement a deadlock even further. I indirectly therefore ask, how can we think adequately about the relation between knowledge, learning and ethics in educational systems and societies that are governed by algorithmic digital systems and objects endowed with agency?Further, how can we think adequately about the relation between ontology and language in educational systems and societies that are governed by such algorithmic systems and objects?

      Research Article Pages: 1 - 5

      Comparative Study of Operating Modes for Low-power Wireless Sensor Networks in Vibration-based Machine Condition Monitoring

      David Alexander Ells*, Christopher Mechefske and Yongjun Lai

      DOI: 10.37421/2090-4886.2023.12.239

      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 transmitting the raw vibration data. While the data packet was effectively reduced by 98.6 percent from 4096 bytes to 56 bytes, results showed that processing data locally consumed 8.8 to 21.4 percent more energy than transmitting the raw data.

Google Scholar citation report
Citations: 343

International Journal of Sensor Networks and Data Communications received 343 citations as per Google Scholar report

International Journal of Sensor Networks and Data Communications peer review process verified at publons

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