Wireless Ad Hoc and Sensor Networks

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Optimized Energy and Delay-Based Routing 3811.41.2Energy-delay (energy per packet ∗ average delay)OEDROLSRAODVEnergy ∗ delay (Joules-sec)10.80.60.40.200 20 40 60 80 100 120 140Number of nodes160 180 200FIGURE 8.15Energy and delay product with number of nodes.1614Average contention timesOEDROLSRAODVContention time (milli-seconds)1210864200 20 40 60 80 100 120 140Number of nodes160 180 200FIGURE 8.16Contention time with number of nodes.
382 Wireless Ad Hoc and Sensor Networkscompared to the OLSR and AODV protocols, according to Figure 8.15,due to the energy-delay optimization methods of the proposed OEDRprotocol. On the whole, the NS-2 simulation results suggest that the proposedOEDR protocol finds the minimum delay path from source todestination and optimizes the energy-delay product. OEDR protocol canalso be applied to a wireless sensor network. Next, we show an extensionof OEDR, known as optimal energy-delay subnet routing protocol(OEDSR), applied to a WSN.8.6 Routing in Wireless Sensor NetworksRecent advances in WSNs have made it possible for small, inexpensive,low-power sensor nodes to be distributed across a geographical location.The information can then be gathered and sent to the end user or BS throughwireless communication, as shown in Figure 8.17. These tiny sensor nodeshave sufficient intelligence for signal processing and data broadcasting, butcompared to other wireless networks, WSNs have resource constraints suchas limited battery power, bandwidth, and memory.Additionally, because of fading wireless channels, WSNs are prone tofailures or intermittent connectivity. Consequently, WSNs have to periodicallyself-organize and generate routes from the nodes to the BS. Thesensor nodes broadcast information to communicate with each other inthe network, whereas ad hoc networks use peer-to-peer communication.The performance metrics usually considered when working with a WSNare power consumption, connectivity, scalability, and limited resources.WirelesscommunicationBasestationWired orwirelesscommunicationEnd usersSensor nodesFIGURE 8.17Wireless sensor network.
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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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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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