Tim: An Effective Method for Data Timeliness Evaluation in Engineering Data Transmission

In the field of engineering data transmission, data timeliness represents a crucial dimension for measuring data quality, which directly impacts the accuracy and effectiveness of engineering decision-making. Based on the characteristics of engineering data transmission scenarios, this paper proposes...

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Bibliographic Details
Published in2025 International Conference on Computer Science, Technology and Engineering (ICCSTE) pp. 61 - 65
Main Authors Lan, Xinyuan, Han, Chao
Format Conference Proceeding
LanguageEnglish
Published IEEE 27.06.2025
Subjects
BKD-Tree
Data communication
Data integrity
data quality
data timeliness
data transmission
Optimization
Power demand
Predictive models
Processor scheduling
Real-time systems
Smart cities
Transportation
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DOI10.1109/ICCSTE65902.2025.11138408

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Summary:In the field of engineering data transmission, data timeliness represents a crucial dimension for measuring data quality, which directly impacts the accuracy and effectiveness of engineering decision-making. Based on the characteristics of engineering data transmission scenarios, this paper proposes the data timeliness evaluation problem, and designs a data timeliness evaluation algorithm called Tim. Tim constructs a data transmission time model and combines the characteristics of key nodes such as data generation, transmission, and reception to quantitatively evaluate the timeliness of data. And Tim uses an adaptive BKD-Tree indexing structure to store and query data efficiently. Experimental results demonstrate that the Tim algorithm can accurately and effectively assess the timeliness of engineering data, and Tim algorithm is efficient under real-time streaming compared with traditional methods.
DOI:10.1109/ICCSTE65902.2025.11138408