Research on embedded-based IoT information data collection technology

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 approxi...

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Main Authors: Zhang Bing, Yuan Jin
Format: Article
Language:English
Published: Sciendo 2024-01-01
Series:Applied Mathematics and Nonlinear Sciences
Subjects:
Online Access:https://doi.org/10.2478/amns.2023.2.00624
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author Zhang Bing
Yuan Jin
author_facet Zhang Bing
Yuan Jin
author_sort Zhang Bing
collection DOAJ
description 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.
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spelling doaj.art-acf5491ef9e247f7a3ac0c2c5d1726422024-01-29T08:52:34ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns.2023.2.00624Research on embedded-based IoT information data collection technologyZhang Bing0Yuan Jin11Institute of Information Engineering, Suqian University, Suqian, Jiangsu, 223800, China.1Institute of Information Engineering, Suqian University, Suqian, Jiangsu, 223800, China.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.https://doi.org/10.2478/amns.2023.2.00624embedded systemsinternet of thingsdata acquisition techniquesreconstruction sr algorithm78-02
spellingShingle Zhang Bing
Yuan Jin
Research on embedded-based IoT information data collection technology
Applied Mathematics and Nonlinear Sciences
embedded systems
internet of things
data acquisition techniques
reconstruction sr algorithm
78-02
title Research on embedded-based IoT information data collection technology
title_full Research on embedded-based IoT information data collection technology
title_fullStr Research on embedded-based IoT information data collection technology
title_full_unstemmed Research on embedded-based IoT information data collection technology
title_short Research on embedded-based IoT information data collection technology
title_sort research on embedded based iot information data collection technology
topic embedded systems
internet of things
data acquisition techniques
reconstruction sr algorithm
78-02
url https://doi.org/10.2478/amns.2023.2.00624
work_keys_str_mv AT zhangbing researchonembeddedbasediotinformationdatacollectiontechnology
AT yuanjin researchonembeddedbasediotinformationdatacollectiontechnology