Wireless Ad Hoc and Sensor Networks

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Distributed Power Control and Rate Adaptation 277TABLE 6.3Energy Efficiency (kb/J)Protocol 0.5 Mbps 1.2 Mbps 4 MbpsRBAR 196.73 217.77 233.65DP 670.58 780.05 803.58RBAR for all the traffic rates because it intelligently selects the rate basedon channel state and congestion. Here the higher throughput observedfor the proposed protocol is the result of rate adaptation and not dueto DPC which clearly shows that the channel state has to be consideredduring rate selection. Moreover, when observing energy-efficiency inFigure 6.19, the proposed protocol can transmit up to three times moredata for the same amount of energy consumed, because of the inclusionof DPC.Figure 6.20 displays the drop rate at the intermediate node. The numberof dropped packets increases for the RBAR as traffic increases, whereasfor the proposed protocol, this rate is constantly low because, in theproposed rate adaptation scheme, the buffer occupancy of the receivingnode is fed back to the transmitter. This information is used at thetransmitting node to delay transmissions, thus preventing packet dropsand retransmissions, whereas the RBAR transmits constantly dropping300Network throughput250Throughput (Kbps)20015010050The proposed protocolRBAR00 200 400 600 800 1000 1200 1400Per-flow rate (Kbps)FIGURE 6.18Throughput for varying per flow rate.
278 Wireless Ad Hoc and Sensor Networks3Energy efficiencyEnergy efficiency (Mbits/Joule)2.521.510.500 200 400 600 800 1000 1200 1400Per-flow rate (Kbps)FIGURE 6.19Energy efficiency for varying per flow rate.packets at the relay node. This improvement, which is an effect of usingthe backoff mechanism, provides energy-efficient transmission asobserved in the one-hop topology (though we cannot compare themdirectly because of differences in topology) giving higher throughputwhen compared to the RBAR.350Data dropped at intermediate nodeDrop rate (Kbps)30025020015010050The proposed protocolRBAR00 200 400 600 800 1000 1200 1400Per-flow rate (Kbps)FIGURE 6.20Drop rate for varying per flow rate.
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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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Page 326 and 327: 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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