Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 2


Published
on

October 15, 2023


Pages


DOI

Article

Research on embedded-based IoT information data collection technology

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Authors

Bing Zhang Affiliation:
Institute of Information Engineering, Suqian University, Suqian, Jiangsu, 223800, China.
and Jin Yuan Affiliation:
Institute of Information Engineering, Suqian University, Suqian, Jiangsu, 223800, China.


Abstract

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

Embedded systems, Internet of Things, Data acquisition techniques, Reconstruction SR algorithm, 78-02


Citation

Zhang, B. & Yuan, J. (2023). Research on embedded-based iot information data collection technology. Applied Mathematics and Nonlinear Sciences, 8(2). https://doi.org/10.2478/amns.2023.2.00624

Published by: Engineering Journals

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