The MAC behavior of the two topologies belonging to this category is slightly different, although the throughput achieved by the two flows in both categories is the same.
Now, we focused on the pqs system shown in Figure 8 in order to illustrate the behavior of the network topology in detail.
Fig. 5 Comparison between the first-order perturbative expansion and the real behavior of the network, for the topologies (C_{10}), (K_{10}), (mathcal {BC}_{3,10} (4,5,5 )) and (Q_{4}).
Nevertheless, this simple model gives insight into the behavior of different network topologies when self-interference cancellation is employed in network nodes.
We study the behavior of the system under different topologies, including a real-world network.
The real silicon device model can be used for testing and verifying the behavior of the in-vehicle network topologies.
Moreover, they found a dependence relation between the tolerance to selfish behaviors and the topologies of networks.
This analysis included examination of the effect of protein expression levels on the compensation behavior of each topology by looking at the maximal protein production rates θ and protein degradation rates γ.
The method provides insights into the behavior of different network topologies when self-interference cancellation is employed in nodes.
This work completes the research efforts towards defining the MAC behavior of two-flow topologies and its impact on the throughput of links.
