Wireless Ad Hoc and Sensor Networks

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Optimized Energy and Delay-Based Routing 405Energy vs network size100aodvdsrbelloedsr80Energy (mWhr)6040200−2050 60 70 80 90Number of nodes100FIGURE 8.36Energy consumed with network size (magnified).network size increases, the energy consumed for other protocolsincreases. At the same time, the nodes in the network using OEDSRconsume almost a fixed amount of energy, because only a limited numberof nodes are used to route information while the rest are in sleep state.Moreover, subnetwork formation minimizes the energy consumption. Bycontrast, with an increase in network size, Bellman Ford uses more numberof RNs to route information, thus consuming more energy.Next, the average E2E delay in the case of a mobile BS is computed. Inthis scenario, the AODV incurs higher E2E delay, compared to the OEDSRas illustrated in Figure 8.37 and Figure 8.38. The E2E delay is calculatedas the time taken to complete data transfer from the source to the destination.This time includes the transmission time, which is the time it takesfor the data to reach the destination node from the source node, and thewake-up time, which is defined as the time taken for the destination nodeto wake up and receive this stream of data. Moreover, when multiplepackets arrive at the same time, then the queuing time is also consideredfor calculating the E2E delay. Therefore, when there are fewer RNs, as isthe case of OEDSR, fewer nodes have to be kept awake. This reduces theaverage energy consumed.Figure 8.39 and Figure 8.40 display the number of collisions observedwhen using different routing protocols. As was the case with stationary
406 Wireless Ad Hoc and Sensor Networks43.53Delay vs network sizeaodvdsrbelloedsr2.5Delay (s)21.510.5040 50 60 70 80 90Number of nodes100 110FIGURE 8.37Average end-to-end delay with network size.Delay vs network size0.5aodvdsrbelloedsr0.4Delay (s)0.30.20.1050 60 70 80 90Number of nodes100FIGURE 8.38Average end-to-end delay with network size (magnified).
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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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Page 378 and 379: 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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