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In this paper, we propose a novel TCP congestion control algorithm, named TCP SPC, which improves upon the performance of TCP Reno in wireless networks. TCP SPC exploits statistic process control (SPC) methods that have been used effectively in a variety of monitoring and control applications other than TCP. A TCP SPC sender uses RTT statistics to judge the network status, whereby the congestion window...
This paper is focused on the statistical analysis of packet arrival process in wireless LAN. The approach is fully empirical, and is based on large traces, captured from real wireless LAN. A variety of models for the packet interarrival times distribution are examined. In addition to Q-Q plot and Cramer-von Mises type statistics, are used to evaluate the models. Our findings, different from those...
We propose a new clustering algorithm called SMIP. It uses a statistics method to obtain the clustering parameters automatically. Mathematics morphology theory is introduced into clustering to acquire high speed and accuracy. Based on it, we realize incremental clustering and distribution parallel clustering. Our incremental clustering can yield sign speed-up factors for new coming data in an already...
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