Wireless Ad Hoc and Sensor Networks

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Optimized Energy and Delay-Based Routing 4130.950.9Energy vs network sizeoedsroedr0.85Energy (mWhr)0.80.750.70.6540 50 60 70 80 90Number of nodes100 110FIGURE 8.46Energy consumed with network size.1.61.4Delay vs network sizeoedsroedr1.2Delay (s)10.80.60.40.240 50 60 70 80 90Number of nodes100 110FIGURE 8.47Average end-to-end delay with network size.
414 Wireless Ad Hoc and Sensor Networks80007000Collision vs network sizeoedsroedr6000# of collisions500040003000200040 50 60 70 80 90Number of nodes100 110FIGURE 8.48Number of collisions with network size.being sent in the network. Because of increased traffic in the network, thenumber of collisions in the network increases significantly.8.10 OEDSR ImplementationEnergy-efficient network protocols are an integral part of constructing apractical WSN for deployment (Regatte and Jagannathan 2005). Implementationissues that are not always addressed in simulation constrainthe type of protocols and hardware that can be deployed. Processingcapabilities, on-board battery capacity, and sensor interfacing all becomeconstraints that must be weighed during the design of the hardwarecomponents.Implementations of WSN protocols are traditionally evaluatedthrough the use of network simulators such as NS2, OPNET, and Glo-MoSim (Fonda et al. 2006). Simulations allow for establishment of theperformance of a particular protocol against others. However, simulationslack the ability to evaluate the protocol against hardware constraints.In this work, hardware implementation is shown for the OEDSRprotocol (Ratnaraj et al. 2006). The OEDSR is used in WSN to provide
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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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Optimized Energy and Delay-Based Ro
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Page 452 and 453: 9Predictive Congestion Control for
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Adaptive and Probabilistic Power Co
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Wireless Ad Hoc and Sensor Networks

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