Wireless Ad Hoc and Sensor Networks

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Admission Controller Design for High-Speed Networks 169CLR10 −332.5PCR2Two-layer NNTwo-layer NN1.5with over allocationTwo-layer NN1with buffer control0.5Target CLR026 28 30 32 34 36 38 40 42×Buffer length (cells)20Delay (msec)15PCR10Two-layer NNTwo-layer NNwith over allocation5Two-layer NNwith buffer controlTarget CLR026 28 30 32 34 36 38 40 42Buffer length (cells)FIGURE 4.9Prediction error at Switch 1 for several schemes in which the cell loss ratio and delay aresmall when peak cell rate is used.PCR of all the sources, then all sources are admitted irrespective of themethod used. However, a large amount of bandwidth is wasted when thePCR-based scheme is used. Although a small prediction error similarly isobserved (blue), the selection of overallocation factor is done by trial anderror whereas NN scheme in “red” generated a small error.In Figure 4.9 and Figure 4.10, the CLR and transmission delay are givenfor several schemes in which the CLR and delay are small when PCR isused, compared to all other schemes. Although the two-layer NN methodproduces slightly higher CLR and delay than PCR, it meets the target QoSrequirement.In the second case, when the available bandwidth is not equal to thePCR of all sources, several new sources are rejected by the other methods,whereas our adaptive method admitted more sources, resulting in highnetwork utilization. The improved performance is the result of accuratebandwidth estimation. Here, the sources are queued until the sufficientbandwidth is available. Figure 4.11 shows the comparison between theavailable bandwidth’s being PCR of all the sources and its being PCR ofone ON/OFF source at Switch 2. As expected, fewer sources are admitted.
170 Wireless Ad Hoc and Sensor NetworksCLR0.30.250.20.150.10.050150 200 250 300 350200Buffer length (cells)PCRTwo-layer NNTwo-layer NNwith over allocationTwo-layer NNwith buffer controlTarget CLRDelay (msec)150100500150 200 250 300 350Buffer length (cells)PCRTwo-layer NNTwo-layer NNwith over allocationTwo-layer NNwith buffer controlTarget CLRFIGURE 4.10Prediction error at Switch 2 for several schemes in which the cell loss ratio and delay aresmall when peak cell rate is used.20Input source vs time at the 2nd switchNumber of sources18161412108642Sources fromswitch 1SourcesadmittedSmax = the sum of pcr ofall admitted sourcesSources endedtransmissionSmax = pcr of one of thesources being admitted00 1000 2000 30004000 5000 6000 7000 8000 9000Time (1/24 sec)FIGURE 4.11Admission controller performance.
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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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100 Wireless Ad Hoc and Sensor Netw
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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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