Applied Mathematics and Nonlinear Sciences (Jan 2024)

Research on embedded-based IoT information data collection technology

  • Zhang Bing,
  • Yuan Jin

DOI
https://doi.org/10.2478/amns.2023.2.00624
Journal volume & issue
Vol. 9, no. 1

Abstract

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This paper focuses on the IoT information data acquisition technology based on embedded systems, including the overall structure of embedded systems, hardware design and selection, software system design and data acquisition algorithm design. In the data acquisition algorithm design, the IoT approximate data acquisition and reconstruction SR algorithm are proposed, and both the time dimension curvature and the spatial dimensional curvature are used in the sampling node selection. Finally, the simulation experiment of data acquisition technology based on embedded systems is conducted to analyze the data acquisition efficiency of mobile nodes. The outcomes demonstrate that the rebuilt SR algorithm has a data collection success rate of 0.91, and the sink locations are relatively evenly distributed throughout the sensing area and cover almost the entire sensing area. The research in this paper provides some guidance and reference for the embedded system, which is applied in the field of IoT information data acquisition.

Keywords