In order to quantify the short-term fair capacity, a short-term fairness horizon threshold has to be determined such that the network is considered short-term unfair when the short-term fairness horizon is beyond this threshold.
Throughputs corresponding to these thresholds are computed using interpolation and plotted in Figure4 where the short-term fair capacity of a tree network under CSMA is plotted as d increases.
Section 7. illustrates the trade-off between short-term fair capacity and coverage for a practical Wi-Fi deployment scenario.
In this plot, degrees omitted from Figure3b are also included to give a better picture of the short-term fair capacity region.
Our results suggest that the reconstruction threshold can be used as a good indicator of the short-term fair capacity region for the tree topology which is in accordance with the recent results on the mixing time.
Inclusion criteria were a recent suicide attempt (within one month), fair capacity to communicate verbally and in writing in the Swedish language and an age of 18 years or older.
Conflict graph topology is an important factor affecting the short-term fair capacity.
Deploying a dense network improves coverage; however, it reduces short-term fair capacity by increasing the average degree.
Figure 4 Short-term fair capacity of the tree topology as the degree increases.
