Abstract
With the continuous increasing demand of Internet applications, networks are experiencing a serious congestion problem. This affects directly the networks’ services and management due to large amounts of data loss and long transmission delays. The present work suggests an improved networking congestion control approach for TCP using fuzzy logic. Its main objective is to use packet drop information to improve network services by optimizing data throughput and smoothing data transfer profiles.
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Ahmed Al Naamany is Director of Communication & Information Research Center and Assistant Professor, Electrical and Computer Engineering, at Sultan Qaboos University in Oman. He obtained a PhD from University of Manchester, UK, in 1995, an MS from Drexel University in 1990, and a BS from Widener University in 1986. He is a member of IEEE Computer and Control Societies.
Hadj Bourdoucen is Associate Professor and Head,ECEDepartment, Sultan Qaboos University. He obtained BEng from INELEC in 1983, DEA and PhD from Ecole Central de Lyon, France, in 1984 and 1987, respectively. His research interests include optical networking, congestion control and instrumentation. He is an IEEE Senior Member.
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Al-Naamany, A.M., Bourdoucen, H. TCP Congestion Control Approach for Improving Network Services. J Netw Syst Manage 13, 1–6 (2005). https://doi.org/10.1007/s10922-005-1843-8
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DOI: https://doi.org/10.1007/s10922-005-1843-8