Fuzzy Enhanced Tcp Vegas for Congestion Control
نویسنده
چکیده
In data networking and queuing theory, network congestion occurs when a link or node is carrying so much data that its quality of service deteriorates. Typical effects include queuing delay, packet loss or the blocking of new connections. A consequence of these latter two is that incremental increases in offered load lead either only to small increases in network throughput, or to an actual reduction in network throughput. TCP Vegas detects congestion at an incipient stage based on increasing RoundTrip Time (RTT) values of the packets in the connection unlike other flavors like Reno, NewReno, etc., which detect congestion only after it has actually happened via packet drops. The algorithm depends heavily on accurate calculation of the Base RTT value. In this paper an adaptive fuzzy enhanced version of TCP Vegas is proposed so that performance of traditional Vegas is optimized. Keywords-TCPVegas,fuzzy,TCP/IP,bandwidth,congestion ,queue delay,window size.
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