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Input traffic from KPIs is interpolated using a Poisson distribution.
Figure 12 Performance comparison with varying input traffic λ.
Fig. 12 Network latency for different input traffic loads.
In our algorithm, each node monitors its aggregate output and input traffic rate.
For the RTS/CTS scheme, its throughput increase rapidly with the input traffic at first.
Thus, the average input traffic rate is approximately more than twice the system capacity.
The proposed scenario corresponds to an average input traffic rate of 14.868 Mbps.
The simulation results show that GSSMS can work efficiently for different input traffic patterns.
Figure 5a depicts the input traffic applied by the CTNs to their CAN buses.
We change the input traffic of every node from 0.05 to 0.5 packet per second.
In the first scenario, 100 M2M devices are considered to generate input traffic.
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