Wireless Ad Hoc and Sensor Networks

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Adaptive and Probabilistic Power Control Scheme 479100Minimum distance of 9 metersPercentage of time achieving desired range9080706050403020PPC beta (0.1, 0.1)10PPC beta (2, 2)DAPC05 10 15 30 45 60Number of readers in the networkFIGURE 10.7Percentage of time the desired range is achieved with number of readers.overcomes the interference produced, thereby achieving the desiredrange. In contrast, Beta(0.1, 0.1) has a 30% probability of being off; therefore,the probability of attaining the desired range will be low.In Figure 10.8, considering the average detection range for the samescenario, the DAPC converges to the 2 m desired range and outperformsboth PPC algorithms. We can also observe the average power level usedfor each algorithm in Figure 10.9. As the mean for both Beta(2, 2) andBeta(0.1, 0.1) is 0.5, the average reader output power stays at 500 mW,which is half of the maximum power. Meanwhile, DAPC is able to dynamicallyadjust its output power to find the optimal level for which thedesired range can be achieved as the size of the network varies.Performance of the power control schemes in denser networks is nowanalyzed. For network with a minimum distance of 6 m, the desired rangeis not attainable by all readers as the transmission power is not able toovercome the interference, forcing the yielding strategy of each algorithmto test. The detection range and percentile vs. number of readers arepresented in Figure 10.10 and Figure 10.11 respectively. As the number ofreaders increases, the overall interference in the network will also increase.Consequently, the percentage of time r a reader attains its desired rangewill drop, as shown in Figure 10.10. It is observed that PPC withBeta(0.1, 0.1) offers the best performance in terms of r. This is because on
480 Wireless Ad Hoc and Sensor Networks2.5Minimum distance of 9 metersAverage detection range (meters)21.510.5PPC beta (0.1, 0.1)PPC beta (2, 2)DAPC05 10 15 30 45 60Number of readers in the networkFIGURE 10.8Average detection range in meters with number of readers.1000Minimum distance of 9 meters900Average reader output power (mW)800700600500400300200PPC beta (0.1, 0.1)100PPC beta (2, 2)DAPC05 10 15 30 45 60Number of readers in the networkFIGURE 10.9Average output power per reader with number of readers.
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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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4Admission Controller Design for Hi
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Admission Controller Design for Hig
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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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Page 452 and 453: 9Predictive Congestion Control for
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Wireless Ad Hoc and Sensor Networks

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