Abstract
RTT is the only parameter available with TCP sender for estimating network capacity. Accordingly, legacy TCP revises its sending rate for utilizing maximum of the network capacity, without overloading. Since in wireless network, RTT is weakly correlated to the congestion, any estimate using only the recent RTT sample may lead to performance penalty. This paper presents a simulation-based study of the two RTT-dependent mechanisms, targeting fair network state classification by taking RTT statistics into account. It is demonstrated that the performance of TCP scheme equipped with one technique can be improved further by tweaking using the other technique.
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Shah, D., Dalal, P., Sarkar, M., Dalal, S. (2018). Evaluation of RTT-Based Techniques for Network State Classification. In: Kher, R., Gondaliya, D., Bhesaniya, M., Ladid, L., Atiquzzaman, M. (eds) Proceedings of the International Conference on Intelligent Systems and Signal Processing . Advances in Intelligent Systems and Computing, vol 671. Springer, Singapore. https://doi.org/10.1007/978-981-10-6977-2_8
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DOI: https://doi.org/10.1007/978-981-10-6977-2_8
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