Journal of Information and Telecommunication (Jul 2021)

Extended continuous improvement model for Internet of Things system design environments

  • Cezary Orłowski,
  • Dawid Cygert,
  • Przemysław Nowak

DOI
https://doi.org/10.1080/24751839.2020.1847506
Journal volume & issue
Vol. 5, no. 3
pp. 279 – 295

Abstract

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The aim of this article is extended for [Orłowski, C., Cygert, D., & Nowak, P. (2020). Continuous improvement process model for supporting the construction of Internet of Things system design environments. In Communications in computer and information science (pp. 424–435). Springer. https://doi.org/10.1007/978-981-15-3380-8_37] proposal build a model of continuous improvement systems design support, the Internet of Things (IoT). The model was based on the authors’ experience gained during the design process IoT nodes. Therefore, the article presents both the research experiment and the extent to which this experiment pointed to the need to design a production environment. This environment is still being developed. To achieve this goal, the article was divided into four main parts. At the beginning a basic project was presented, which goal was to create an IoT node. During its implementation, there were requirements for a system that would be used to monitor the status of IoT nodes and data flow. Therefore, the second chapter presents the functions of the production environment necessary for both designing the nodes and monitoring their condition. While in the paper [Orłowski, C., Cygert, D., & Nowak, P. (2020). Continuous improvement process model for supporting the construction of Internet of Things system design environments. In Communications in computer and information science (pp. 424–435). Springer. https://doi.org/10.1007/978-981-15-3380-8_37], the basic functions were introduced in the presented article the scope was extended by the functionalities currently tested. They were then called the functions of the application enabling platform (AEP) used in IoT to assess their usefulness in improving the monitoring and maintenance processes of IoT nodes.

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