Wireless Ad Hoc and Sensor Networks

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Optimized Energy and Delay-Based Routing 39715001000(Meters)500150000500 1000(Meters)(a)15001000(Meters)50000500 1000(Meters)(b)1500FIGURE 8.25Network size: (a) Layout of a 40-node random network. (b) Layout of a 70-node randomnetwork.256 B, a simulation time of 1 h, two-ray ground propagation model witha path-loss exponent of 4.0. In addition, the transmission powers of allactive nodes are taken as 25 dBm, whereas for the sleep nodes it was setto 5 dBm.In Figure 8.26, the energy consumed for different routing protocols canbe observed. Because the Bellman Ford protocol consumes a radically higheramount of energy than other protocols, the graph is magnified to comparethe performance of OEDSR with the other protocols. On magnifying the
398 Wireless Ad Hoc and Sensor Networks15001000(Meters)500150000500 1000(Meters)(c)15001000(Meters)50000500 1000(Meters)(d)1500FIGURE 8.25 (Continued)Network size: (c) Layout of 100-node random network. (d) Layout of a 150-node randomnetwork.plot as shown in Figure 8.27, it can be seen that OEDSR protocol performsbetter than AODV and DSR. This is because OEDSR uses an optimal routeto the BS by selecting nodes based on the available energy over averageE2E delay times distance metric. Moreover the distance metric will ensurethat the numbers of RNs are minimized. In consequence, the energy usedto transmit packets is minimized in case of the proposed scheme as only afew of the nodes are selected to transmit the data to the BS.
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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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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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