Hierarchical Alignment of Multiple Time Series With Missing Timestamps

Collecting data using a UAV nomadic gateway, which serves as a "go-between" edge device between resource-limited end sensor devices and a cloud instance may lead to data quality issues. Power outages on end devices together with MCU lacking the system clock may not only make collected time series data incomplete but also disrupt timestamping of sequences of samples. The proposed data fusion method performed at the cloud side combines information from a number of sensors to align the sequences along time.

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Publication Details

Published
2025-05-04
DOI
https://doi.org/10.1145/3715014.3724035
Citations
1
Primary Topic
Time Series Analysis and Forecasting
Type
article
Field-Weighted Citation Impact
1.49

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article

Hierarchical Alignment of Multiple Time Series With Missing Timestamps

Jerzy Dembski, Bogdan Wiszniewski, Agata Kołakowska
1 citations
Time Series Analysis and Forecasting
1.49
article

Hierarchical Alignment of Multiple Time Series With Missing Timestamps

Jerzy Dembski, Bogdan Wiszniewski, Agata Kołakowska
article en
1 citations

Abstract

Collecting data using a UAV nomadic gateway, which serves as a "go-between" edge device between resource-limited end sensor devices and a cloud instance may lead to data quality issues. Power outages on end devices together with MCU lacking the system clock may not only make collected time series data incomplete but also disrupt timestamping of sequences of samples. The proposed data fusion method performed at the cloud side combines information from a number of sensors to align the sequences along time.

Gdańsk University of Technology (PL)
Narodowe Centrum Badań i Rozwoju
Openalex Percentile: Top 20%
Time Series Analysis and Forecasting
1.49
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