Focus of this research is the analysis of two-flow interference interactions, impact of geometric location on MAC behavior, and its impact on throughput of the two single hop flows.
Once again, the difference in MAC behavior within category does not impact the throughput of the flows.
This figure shows that channel sensing and access parameters can strongly impact the throughput of the secondary network, which indicates the need to optimize them.
But when the number of CPU intensive processes is bigger than the number of CPUs, the other processes would observably impact the throughput of SAME, as is shown in column 4. On the other hand, as in column 3, the I/O intensive process would not impact the SAME a lot.
The MTW computation takes into account many factors that impact the throughput of WMNs, that is, the number of mesh routers, the number of mesh clients, the number of gateways, traffic demand from mesh clients, locations of gateways, and possible interference among gateways.
Each interaction impacts the throughput of the flows, resulting in complex chain of interactions.
The scheduling method used directly impacted the throughput of the system, and the system throughput was strongly influenced by the end-to-end performance.
When some clients experience poor channel conditions and therefore communicate at a lower data rate, this severely impacts the throughput of all clients in the network.
That the peptide did not interfere with the initial inactivation curve shift indicates a larger role for internalization of A-type channels in the expression of intrinsic plasticity, impacting synaptic throughput of both potentiated and naive synapses.
The number of SUs clearly has a great impact on the throughput of SUs.
