Data compression by using bit stuffing with threshold criteria in run length encoding scheme

Faisal Fayyaz Qureshi, Muhammad Nabeel Asghar, Fiaz Hussain, Ghazanfar A. Safdar, Syed Stiwat Shah

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Energy is predominantly a scarce resource; there is a strong need for efficient data compression schemes that could be used for energy conservation. This paper proposes a solution to the limitations and problems of original run length encoding scheme has been suggested and performed for each problem to achieve intelligent and efficient coding. Bit stuffing with threshold is introduced as a proposed technique called Bit stuffing with threshold in Run Length Encoding (BST-RLE), with a segment size and the minimum number of similar bits to represent in a segment is known as threshold. Function of bit stuffing in BST-RLE, is to bring the similar bits of same value into a common standard of 7 bits called segment size but ensuring that the minimum numbers of similar value bits meet the threshold criteria(L>=3).. The output of BST-RLE resulted in 15836 bits saved for transmission of same data out of 37146 bits. This means that modified techniques brings 42.6% compression in size of data as compare to its original data size.

Original languageEnglish
Title of host publicationProceedings of the IADIS International Conference Information Systems 2012, IS 2012
EditorsPedro Isaias, Luis Rodrigues, Miguel Baptista Nunes, Philip Powell
PublisherIADIS
Pages357-361
Number of pages5
ISBN (Electronic)9789728939687
Publication statusPublished - 2012
Externally publishedYes
EventIADIS International Conference on Information Systems 2012, IS 2012 - Berlin, Germany
Duration: 10 Mar 201212 Mar 2012

Publication series

NameProceedings of the IADIS International Conference Information Systems 2012, IS 2012

Conference

ConferenceIADIS International Conference on Information Systems 2012, IS 2012
Country/TerritoryGermany
CityBerlin
Period10/03/1212/03/12

Keywords

  • BS-RLE
  • Bit stuffing
  • Data compression
  • Energy efficiency
  • RLE

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