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In order to determine the optimal design option for the future, a model for the quantitative assessment and simulation of different congestion management measures (CMMs) is needed.
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Consequently, TCP's congestion window (cwnd) is higher on average; this behavior is shown in Figure 5, which plots the average cwnd for the experts framework and Jacobson's algorithms over the duration of the whole simulation for different congestion scenarios, i.e., different number of TCP flows.
We introduce a new combination of three different congestion indicators to get a more accurate measurement of the congestion.
Figure 5 Fairness of LE. Figure 6 Performance of LE with different congestion control algorithms: AIMD, fixed, and Westwood.
Such a combination of IR and n can reinforce the main concept of Section 4.1.1, namely the same congestion case of cross traffic (n) could mean very different congestion levels of AC[2].
It is a new indicator created by the author to present travelers' feelings of different traffic congestion situations by considering both frequency of congestion happening and travelers' feelings about the congestion.
Table 6 further gives the largest PSNR gains (dB) of the proposed DVFI+CQM framework over the existing ones among different congestion cases of cross traffic for the four input rates of video source (IR = 128, 256, 384, and 512 kbps) in all the test video sequences both in QCIF and CIF.
This study evaluates the performance of the proposed approaches under different congestion levels.
Like SUIT, FCE calculates the congestion periodically via a fuzzy logic-based calculation and three different congestion levels described as slight congestion, somewhat congested, and very heavy congestion.
The performance of SUIT's congestion control is evaluated with extensive simulations and it is compared with two different congestion detection and mitigation techniques.
Finally, the frequency of occurrence of different forms of congestion is taken into account based on recent available data, rather than being assumed as in most previous research.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com