Adaptive Multivariate Data Compression in Smart Metering Internet of Things
Citations
27 citations
Cites methods from "Adaptive Multivariate Data Compress..."
...More robust frameworks for effective characterization and reduction of high frequency smart meter data using adaptive compressive sampling are proposed in [63] and [52], respectively for single-variate and multivariate data samples, based on adaptive sparsity selection over optimum batch size before data transmission....
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25 citations
12 citations
Cites background from "Adaptive Multivariate Data Compress..."
...In addition, IoT devices produce an enormous amount of data [14]....
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9 citations
Cites background from "Adaptive Multivariate Data Compress..."
...techniques are also being tried for low bandwidth IoTs [3]....
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...In IoT, data compression is needed in several instances as the data rates and bandwidth allocated for IoTs are limited [3] – [6]....
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...metering [3], and image transmission [4]....
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8 citations
Cites background from "Adaptive Multivariate Data Compress..."
...MTC applications include but not limited to smart metering, payment, object tracking, remote surveillance, e-health [2], [3]....
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References
272,030 citations
"Adaptive Multivariate Data Compress..." refers methods in this paper
...arima function of forecast package in R [37], where Akaike Information Criterion (AIC) is used to compare models, and the order of differencing d is computed based on Kwiatkowski–Phillips–Schmidt–Shin test....
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9,950 citations
"Adaptive Multivariate Data Compress..." refers background in this paper
...orthogonal matching pursuit (OMP) [26] have been found to faster than approximation algorithms such as basis pursuit [27], which can be handled by linear programming (LP) solvers....
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