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A Congestion Avoidance Algorithm Based on Fuzzy Controlling

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Smart Computing and Communication (SmartCom 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10135))

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Abstract

Many researches and experiments have shown that delay-based congestion avoidance (DCA) algorithms improve TCP throughputs. However, many factors affect the veracity of DCA algorithms. In order to solve these problems, a fuzzy control based on DCA algorithms (FDCA) is proposed which eliminates these negative influences when gauging network congestion conditions. The performance of the algorithm has been tested and evaluated using NS simulator and the simulation results have demonstrated that the algorithm identifies network congestions more accurately and consequently increases network throughputs.

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Authors and Affiliations

  1. Department of Surveying and Mapping Engineering, Yellow River Conservancy Technical Institute, Kaifeng, 475004, Henan, China

    Hui Zhang, Dan Zhang, Peng Xu, Yi Wang & Kuan He

Authors
  1. Hui Zhang
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  2. Dan Zhang
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  3. Peng Xu
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  4. Yi Wang
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  5. Kuan He
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Corresponding author

Correspondence to Hui Zhang .

Editor information

Editors and Affiliations

  1. Pace University, New York, New York, USA

    Meikang Qiu

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© 2017 Springer International Publishing AG

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Zhang, H., Zhang, D., Xu, P., Wang, Y., He, K. (2017). A Congestion Avoidance Algorithm Based on Fuzzy Controlling. In: Qiu, M. (eds) Smart Computing and Communication. SmartCom 2016. Lecture Notes in Computer Science(), vol 10135. Springer, Cham. https://doi.org/10.1007/978-3-319-52015-5_51

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  • DOI: https://doi.org/10.1007/978-3-319-52015-5_51

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52014-8

  • Online ISBN: 978-3-319-52015-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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