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A Novel Bounded-Error Piecewise Linear Approximation Algorithm for Streaming Sensor Data in Edge Computing

  • Jeng-Wei Lin
  • Shih-wei Liao
  • Fang-Yie LeuEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1035)

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.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of Information ManagementTunghai UniversityTaichung CityTaiwan
  2. 2.Department of Computer Science and Information EngineeringNational Taiwan UniversityTaipei CityTaiwan
  3. 3.Department of Computer ScienceTunghai UniversityTaichung CityTaiwan

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