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Performance Evaluation of Smoothing Algorithm Considering Network Bandwidth in IoT Environment

  • Journal of Internet of Things and Convergence
  • Abbr : JKIOTS
  • 2022, 8(4), pp.41-47
  • DOI : 10.20465/KIOTS.2022.8.4.041
  • Publisher : The Korea Internet of Things Society
  • Research Area : Engineering > Computer Science > Internet Information Processing
  • Received : May 16, 2022
  • Accepted : July 4, 2022
  • Published : August 31, 2022

MyounJae Lee 1

1백석대학교

Accredited

ABSTRACT

Smoothing is a transmission plan that converts video data stored at a variable bit rate into a fixed bit rate. Algorithms for smoothing include CBA, which aims to minimize the number of transmission rate increases, MCBA, which minimizes the number of transmission rate changes, and MVBA algorithms that minimize the amount of transmission rate change. This paper compares the proposed algorithm with the CBA algorithm with various video data, buffer size, and performance evaluation factors as a follow-up to the proposed smoothing algorithm that minimizes (maximizes) the transmission rate increase (decrease) when the server requires more bandwidth The evaluation factors used were compared with the number of changes in the fps rate, the minimum fps, the average fps, fps variability, and the number of frames to be discarded. As a result of the comparison, the proposed algorithm showed superiority in comparing the number of fps rate changes and the number of frames discarded.

Citation status

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