A Novel Bounded-Error Piecewise Linear Approximation Algorithm For Streaming Sensor Data In Edge Computing

ADVANCES IN INTELLIGENT NETWORKING AND COLLABORATIVE SYSTEMS, INCOS - 2019(2020)

Cited 2|Views8
No score
Abstract
Many studies show that many Data compression schemes, like Bounded-Error Piecewise Linear Approximation (BEPLA) methods, have been proposed to lower the length sensor data, aiming to mitigating data transmission energies. When an error bound is given, these data compression schemes consider how to represent original sensor data by using fewer line segments. In this paper, besides BEPLA, we further deal with resolution reduction, which called Swing-RR (Resolution Reduction) sets a new restriction on the position of line segment endpoints. Our simulating results on existing datasets indicate that the length of compressed data is actually lowered.
More
Translated text
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined