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Wireless Ad Hoc and Sensor Networks

Wireless Ad Hoc and Sensor Networks

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Congestion Control in ATM <strong>Networks</strong> <strong>and</strong> the Internet 1332018TQTCPPower161412102040 60Queue size:(packets)80 100FIGURE 3.28System power with queue size for multiple traffic sources.Figure 3.25 shows the PLR with time when TQ <strong>and</strong> New-Reno TCP-basedcongestion control schemes were deployed. It can be observed that the PLRfor both schemes increases as the service capacity is decreased, reaches amaximum value when the service capacity is a small value during the timeinterval of 6≤ t < 24sec.The PLR again decreases as the service capacity isincreased. From Figure 3.26, the PLR obtained using TQ congestion controlscheme is much better than the New-Reno TCP congestion control scheme.The complete analysis results are shown in Table 3.5.Figure 3.26 through Figure 3.28 display transmission delay (TD), PLR,<strong>and</strong> system power (SP), with different queue size for TQ <strong>and</strong> New-RenoTCP. The packet losses decrease with an increase in queue size for bothschemes. From the three figures, we can see that the TD, PLR, <strong>and</strong> SPobtained using TQ congestion control scheme is much better than theNew-Reno TCP congestion control scheme.TABLE 3.5TQ vs. New-Reno TCP ComparisonCase II TQ New-Reno TCPPacket loss ratio 0.087% 0.443%Transmission delay 0.2783 0.4110System power 16.5701 11.2162

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