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Modified Huffman Code for Bandwidth Optimization Through Lossless Compression

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 738))

Abstract

In the interest of minimizing bandwidth usage, a modified Huffman code structure is proposed, with an accompanying algorithm, to achieve excellent lossless compression ratios while maintaining a quick compression and decompression process. This is important as the usage of internet bandwidth increases greatly with each passing year, and other existing compression models are either too slow, or not efficient enough. We then implement this data structure and algorithm using English text compression as the data and discuss its application to other data types. We conclude that if this algorithm were to be adopted by browsers and web servers, bandwidth usage could be reduced significantly, resulting in cut costs and a faster internet.

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References

  1. Cisco Systems. Visual Networking Index. Available at: https://www.cisco.com/c/en/us/solutions/service-provider/visual-networking-index-vni/index.html, Accessed 10 Mar 2018

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Correspondence to Alexander Hansen .

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© 2018 Springer International Publishing AG, part of Springer Nature

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Hansen, A., Lewis, M.C. (2018). Modified Huffman Code for Bandwidth Optimization Through Lossless Compression. In: Latifi, S. (eds) Information Technology - New Generations. Advances in Intelligent Systems and Computing, vol 738. Springer, Cham. https://doi.org/10.1007/978-3-319-77028-4_101

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  • DOI: https://doi.org/10.1007/978-3-319-77028-4_101

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-77027-7

  • Online ISBN: 978-3-319-77028-4

  • eBook Packages: EngineeringEngineering (R0)

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