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The start phases are encoded using 5 bits.
On the contrary, XJTCP, thanks to the θ parameter, can better distinguish between congestion and corruption and can react more suitably with fast recovery, thus experimenting an inferior number of slow start phases.
This fact impacts also on the average jitter depicted in Fig. 12, since the higher is the number of slow start phases, the more are the oscillations on the degree of congestion in the network and consequently the jitter values.
Differently, XJTCP can take a more accurate decision about the predominant condition in the network, and hence, it avoids to enter unnecessary slow start phases, with positive effects on its average delay.
So, when non-congestive events increase (i.e., higher channel error rates), Reno algorithm can lead to an excessive reaction which causes repeated reductions of the Cwnd, with consequent release of network resources due to multiple slow start phases.
The average delay increases when the number of retransmitted packets grows and this happens more evidently in case of consecutive timeouts followed by slow start phases, which is the case of JTCP.
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