Wireless Ad Hoc and Sensor Networks

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Optimized Energy and Delay-Based Routing 40712 × 10610Collision vs network sizeaodvdsrbelloedsr8# of collisions642040 50 60 70 80 90Number of nodes100 110FIGURE 8.39Number of collisions with network size.Collision vs network size× 10 5 10076aodvdsrbelloedsr5# of collisions4321050 60 70 80 90Number of nodesFIGURE 8.40Number of collisions with network size (magnified).
408 Wireless Ad Hoc and Sensor Networksnodes, the number of collisions observed in the OEDSR is lower becauseof the fewer RNs used to route information. Congestion is mitigatedbecause of fewer numbers of nodes accessing the channel. For smallernetworks, OEDSR and DSR have almost the same number of collisions.This is because both these protocols use almost the same number of RNsto route information. But with an increase in network size, the DSR usesmore RNs to route information, while the OEDSR uses the same numberof RNs. This is because the OEDSR is an on-demand routing protocol andit uses E2E delay and distance to the BS from each node as the routingmetrics to minimize the number of RNs used. Consequently, the traffic inthe network is minimized and the numbers of collisions are minimized.Example 8.9.3: Comparison of OEDSR with OEDRStatic Case: Additional simulations were run for networks with 40, 50, 70,and 100 nodes randomly distributed. Parameters used for this scenarioare identical to the previous case.Figure 8.41 shows the comparison of energy consumed by the OEDSRand the OEDR, wherein the energy consumed is lower for the OEDSRthan the OEDR, because the OEDSR considers the distance of a node fromthe BS apart from the energy-delay metrics for calculating the link costfactor, as this decreases the number of RNs. On the other hand, the OEDRprotocol uses more RNs because the link cost factor is calculated based76.8Energy vs network sizeoedsroedr6.66.4Energy (mWhr)6.265.85.65.45.240 50 60 70 80 90Number of nodes100 110FIGURE 8.41Energy consumed with network size.
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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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Predictive Congestion Control for W
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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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