Your English writing platform
Discover LudwigSuggestions(2)
Exact(9)
The results imply that there is a trade-off between the short-term fairness of the network and its coverage.
Short-term fairness of the network against the throughput of individual access points for different inter-nodal distances are plotted in Figure14.
This reduces traffic congestion on the links which are close to the GW and results in an improvement in the throughput and fairness of the network.
Node B which acts as a source and a forwarder node has to compromise its throughput to enhance the fairness of the network.
Results also show that in some instances, the fairness of the network is very uneven among concurrent TCP flows, resulting in several sending stations achieving very little or no throughput.
A further indicator of the enhanced fairness of the network is shown in Figure 10, where the MS throughput is plotted against the distance between the MS and its serving BS.
Similar(51)
The same pattern can be seen in Jain's fairness index of the network, as demonstrated in Fig. 4. The wide fluctuations of the fairness index are visible during the systematic search of the learning agent in the beginning of the learning process.
TCP-AP performs closely to our learning method in terms of the fairness index of the network.
The aggressive nodes have to compromise the throughput in favor of starved nodes to increase the fairness index of the network.
As the learning process converges to the desirable state, the Jain's fairness index of the network settles and the fluctuations become negligible.
Our extensive simulations and testbed experimentation show that choosing 3≤q≤4 and 3≤p≤4 provides the Q-learning TCP with enough number of states to significantly increase the fairness index of the network and convergence rate.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com