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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/13783

Title: Application of Data Compression Technique in Congested Networks
Authors: Kho, Lee Chin
Ngu, Sze Song
Tan, Yasuo
Lim, Azman Osman
Keywords: Congestion Control
Data Compression
Transmission Control Protocol
Redundancy
Issue Date: 2015-10-29
Publisher: Springer
Magazine name: Lecture Notes in Electrical Engineering
Volume: 348
Start page: 235
End page: 249
DOI: 10.1007/978-81-322-2580-5_23
Abstract: One of the viable solutions for reducing congestion in networks is compression. Compression reduces data size and transmission time. The conventional compression techniques are mainly designed to compress data at application level of the Internet protocol suite and during network off-line condition. In this paper, a novel data compression based congestion control (DCCC) technique in transmission control protocol is proposed. The DCCC can be divided into two stages, which are the congestion detection and compression. In the first stage, congestion status identification is performed. If it is predicted that the congestion may appear in a particular network, then a sender that satisfies the compression conditions will send for compression. The second stage consists of the dictionary construction and data encoding to eliminate/reduce redundancy. The numerical result shows that the proposed technique can save up to 20% the network bandwidth when the block size of more than 16 Kbyte is used.
Rights: This is the author-created version of Springer, Lee Chin Kho, Sze Song Ngu, Yasuo Tan, and Azman Osman Lim, Lecture Notes in Electrical Engineering, 348, 2015, 235-249. The original publication is available at www.springerlink.com, http://dx.doi.org/10.1007/978-81-322-2580-5_23
URI: http://hdl.handle.net/10119/13783
Material Type: author
Appears in Collections:b11-1. 会議発表論文・発表資料 (Conference Papers)

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