Wireless Ad Hoc and Sensor Networks

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Congestion Control in ATM Networks and the Internet 99Buffer utilization1009896949290Feedback delay = 0ThresholdAdaptiveOne layerTwo layer w/o trainingTwo layer with training8886150 200 250 300 350Buffer length (cells)FIGURE 3.8Buffer utilization.of much higher than 50 msec (>2% of the total time of transmission) wereobserved, partly due to the unsatisfactory controller performance inappropriately reducing/increasing the rate when required. As a result,higher CLR was observed for thresholding, adaptive ARMAX, and onelayerNN whereas the two-layer NN controller was able to store cells inthe buffer (as presented next in the buffer utilization) and able to transmitit during OFF periods, reducing cell delay and cell losses.Figure 3.8 and Figure 3.9 illustrate the buffer utilization for differentcongestion control schemes. Higher buffer utilization resulted in slightlylong cell-transfer delays because of queuing at the buffer. In addition, thebuffer utilization for the case of multilayer NN with training is higherthan the buffer utilization of the NN without training. In spite of largerqueuing delays for the two-layer NN, the overall delay is much smallerthan for the other schemes. Moreover, by suitably adjusting the gainparameter, one can alter the transmission delay and CLR and one canobserve a trade-off.Example 3.3.2: Multiple MPEG SourcesFigure 3.10 shows the multiplexed VBR input traffic created using severalMPEG data sources. Figure 3.11 and Figure 3.12 (same as in Figure 3.7,but with threshold scheme removed) show the CLR with buffer size whenthe service capacity is kept constant at 2400 cells/sec, which is slightly
100 Wireless Ad Hoc and Sensor Networks100Feedback delay = 098Buffer utilization9694929088AdaptiveOne layerTwo layer w/o trainingTwo layer with86150 200 250 300 350Buffer length (cells)FIGURE 3.9Buffer utilization.600VBR multi source traffic500400Cells/frame30020010000 500 1000 1500 2000 2500 3000 3500 4000Number of framesFIGURE 3.10Traffic from MPEG sources.
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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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Page 72 and 73: 2BackgroundIn this chapter, we prov
Page 74 and 75: Background 51u(k)x n (k + 1)x n (k)
Page 76 and 77: Background 53with x( 0)being the in
Page 78 and 79: Background 55with tr(.) the matrix
Page 80 and 81: Background 57nGiven a function ft (
Page 82 and 83: Background 592.3.2 Lyapunov Stabili
Page 84 and 85: Background 61as well as Jagannathan
Page 86 and 87: Background 63The subsequent example
Page 88 and 89: Background 65Evaluating this along
Page 90 and 91: Background 67Now, select the feedba
Page 92 and 93: Background 69is SISL if and only if
Page 94 and 95: Background 71L 1 (x)L(x, t)L 0 (x)0
Page 96 and 97: Background 73for some R > 0 such th
Page 98 and 99: Background 75Evaluating the first d
Page 100: 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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Wireless Ad Hoc and Sensor Networks

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