A Neural Networks Approach to the Estimation of the Retransmission Timer (RTT)
نویسندگان
چکیده
In this paper we have used a Neural Networks approach for the estimation of the Round Trip Time (RTT) in the TCP protocol. We constructed a network operation scenario that approaches the Internet operation. By observing the traffic between different nodes we collected the RTT values during normal network operation. Then we organized these values in such a way so that part of them was used as a training set of the Neural Network (NN) and the rest for the evaluation of the performance of the training of the NN. The next step was the combination of the ns2 source code with the NN source code in order to replace the Jacobson’s algorithm with the NN approach in the procedure of the RTT estimation. We operated again the previous simulated network with three different scenarios, alternating between the NN and Jacobson’s algorithms. The results show that the Neural Network approach provides a better match than Jacobson’s algorithm.
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