ISAAC: Intelligent synchrophasor data real-time compression framework for WAMS

Ren, Wenyu; Yardley, Timothy; Nahrstedt, Klara

doi:10.1109/smartgridcomm.2017.8340688

Cited by 6 publications

(2 citation statements)

References 16 publications

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“…The SPT algorithm has gained prominence in the eld of lossless compression. In lieu of utilising conventional text or ASCII coding, this method identi es repetitive patterns within the binary representation of the data le [29].…”

Section: Proposed Modelmentioning

confidence: 99%

A Framework for the Optimization of Efficient Network Data Transfer using SPT Algorithm

Preet,

Sharma,

Bagga

et al. 2023

Preprint

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The wireless network is the engine that powers the new world's economy, and it has invaded space in the form of a satellite-powered interplanetary network. Due to signal attenuation, slowed transmission speeds, complete signal unavailability due to inclement weather, and an abundance of connected users, the wireless network's productivity must be increased as soon as possible. Another issue for IoT applications is the outdated TCP protocol, which is unsuitable for low-consumption and limited-storage IoT objects because the data buffer in these devices is negligible. The revolutionary SPT (Squeeze Pack and Transfer) method has been introduced to improve mobile network efficiency while reducing data file storage by more than 90 percent. Rather than textual symbols, binary patterns are used to compress data, resulting in a higher compression ratio and faster compression performance.

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Section: Proposed Modelmentioning

confidence: 99%

A Framework for the Optimization of Efficient Network Data Transfer using SPT Algorithm

Preet,

Sharma,

Bagga

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…The work in [8] clusters correlated PMU measurements before compressing with a method based on principal component analysis (PCA). A method that combines PCA and discrete cosine transform (DCT) for real‐time compression of PMU data is proposed in [9]. Although these approaches offer high CRs, the associated reconstruction errors and computational costs are relatively high.…”

Section: Introductionmentioning

confidence: 99%