Wireless Ad Hoc and Sensor Networks

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Congestion Control in ATM Networks and the Internet 135TABLE 3.6Comparison of TQ with New-Reno TCPCase III TQ New-Reno TCPPacket loss ratio 0 0.42%Transmission delay 0.6587 0.6643System power 6.9984 6.968scheme actively controls the packets by using packet losses and end-toenddelay while ensuring minimal retransmissions, which in turn, couldreduce delay and the system power. On the contrary, the New-Reno TCPdoes not limit losses and causes higher retransmission of packets. Resultscomparing TQ and New-Reno TCP are shown in Table 3.6.Example 3.6.4: FairnessHere we use 2 Data traffic sources (elastic traffic), 1 VBR traffic source,and 3 CBR traffic sources (inelastic). Elastic source rates are adjusted usingthe feedback, uk ( ), and fair share equation 3.20. The bottleneck buffer sizeis taken as 10 packets. For results presented in Figure 3.27 throughFigure 3.29, congestion was created by reducing the bandwidth of Link0as follows:Bandwidth of Link0 = 10 Mbps,0≤ t < 3sec;= 8 Mbps,3≤ t < 6sec;= 4 Mbps,6≤ t < 24sec;= 8 Mbps,= 10 Mbps,24 ≤ t < 27 sec;27 ≤ t.From Figure 3.31 and Figure 3.32, we can see that the PLR obtainedusing the TQ congestion control scheme is much better than the New-Reno TCP. In particular, from Figure 3.30, we can see that the throughputobtained using the TQ scheme is smoother than the New-Reno TCP. Thecomparison is given in Table 3.7. The transmission time for individualtraffic sources are shown in Table 3.8. From this table, we can say thatTCP cannot guarantee fair share to all the users, whereas TQ scheme canachieve fair share for the users by adjusting the elastic traffics rate (becausethese traffics can tolerate a wide range in delay and throughput) while
136 Wireless Ad Hoc and Sensor Networks2TQTCP1.5PLR (%)10.500 5 10 15 20 25 30 35 40 45 50Time:(s)FIGURE 3.30PLR with time for fairness policy.PLR (%)642DATA1TQTCPPLR (%)1.510.5CBR1TQTCP00 10 2030 4000 10 2030 40DATA2CBR2PLR (%)1.510.500 10 20TQTCP30 40PLR (%)21.510.500 10 20TQTCP30 40VBRCBR3PLR (%)2100 10 20TQTCP30 40PLR (%)0.40.200 10 20TQTCP30 40Time:(s)Time:(s)FIGURE 3.31Individual PLR with time for fairness policy.
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Wireless Ad Hocand SensorNetworksPr
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18. Chaos in Automatic Control, edi
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CRC PressTaylor & Francis Group6000
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Table of Contents1 Background on Ne
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3 Congestion Control in ATM Network
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5.4.2 Distributed Power Controller
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7.3 Adaptive and Distributed Fair S
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9.2.2 Overview.....................
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the number of connections in each l
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y Maheswaran Thiagarajan, and tirel
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2 Wireless Ad Hoc and Sensor Networ
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10 Wireless Ad Hoc and Sensor Netwo
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2BackgroundIn this chapter, we prov
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Background 51u(k)x n (k + 1)x n (k)
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Background 53with x( 0)being the in
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Background 55with tr(.) the matrix
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Background 57nGiven a function ft (
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Background 592.3.2 Lyapunov Stabili
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Background 61as well as Jagannathan
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Background 63The subsequent example
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Background 65Evaluating this along
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Background 67Now, select the feedba
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Background 69is SISL if and only if
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Background 71L 1 (x)L(x, t)L 0 (x)0
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Background 73for some R > 0 such th
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Background 75Evaluating the first d
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Background 77Section 2.4Problem 2.4
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Page 170 and 171: 4Admission Controller Design for Hi
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7Distributed Fair Scheduling in Wir
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Distributed Fair Scheduling in Wire
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8Optimized Energy and Delay-Based R
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Optimized Energy and Delay-Based Ro
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9Predictive Congestion Control for
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Predictive Congestion Control for W
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10Adaptive and Probabilistic Power
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Adaptive and Probabilistic Power Co
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