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Wireless Ad Hoc and Sensor Networks

Wireless Ad Hoc and Sensor Networks

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488 <strong>Wireless</strong> <strong>Ad</strong> <strong>Hoc</strong> <strong>and</strong> <strong>Sensor</strong> <strong>Networks</strong>ADFC with sleep mode, 344–346ADF7020 ISM b<strong>and</strong> receiver, 286, 286<strong>Ad</strong> hoc networks, see also <strong>Wireless</strong> ad hocnetworksdistributed power control implementation,240, 240mobile ad hoc networks, 28<strong>Ad</strong>mission controldistributed power control, 200–212hybrid congestion control, 159–163, 160quality of service control, 8–9<strong>Ad</strong>mission controller algorithm, 206–212<strong>Ad</strong>mission controller designadaptive estimator model, 164adaptive traffic estimator design, 153–157admission control, 159–163, 160b<strong>and</strong>width, 157–159estimator structure, 154, 154–155examples, 167–170fundamentals, 147–150, 171guaranteed estimation, 155–157network model, 150–151, 150–153,164–165simulation, 163–171traffic sources, 165–166weight updates, 155–157<strong>Ad</strong>mission delay evaluation, 208, 211, 212Aein studies, 178, 213AIMD, see <strong>Ad</strong>ditive increase <strong>and</strong> multiplicativedecrease (AIMD) algorithmAkaiwa, Canchi <strong>and</strong>, studies, 213–214, 236Akyildiz studies, 37–39Alavi <strong>and</strong> Nettleton studies, 178Algorithms, see also Simulationsadditive increase <strong>and</strong> multiplicativedecrease (AIMD), 109admission controller, 206–212Bellman Ford, 384distributed power control implementation,240, 240–242energy-aware MAC protocol, 344–345overallocation, 158relay-node selection, 390–394, 391–393routing table, 370–371, 370–371, 372Analysis simulation, RFID reader networks,477–483, 478–483Angel <strong>and</strong> Bellman studies, 256Antsaklis studies, 163Approximating cost function, 271–272Approximation propertynetwork modeling, 83–88, 84–85neural networks, 82–83stability of systems, 83APTEEN protocol, 383Architecturehardware, 284–287optimized energy-delay subnetworkrouting, 416–419, 418sensor network communication,38–39ARMAX model, 164, see also <strong>Ad</strong>aptiveARMAX methodArrival rates, 116Asymptotic stability, 58, 71ATM <strong>and</strong> Internet networks, congestioncontrolapproximation property, 82–88bottlenecks, multiple, 107–108, 108controller structure, 89, 89–91control scheme, 113–120cross-traffic presence, 106–107, 106–107end-to-end congestion controller design,108–120extended topology, 107–108, 108, 134–135,134–135fairness, 106–107, 106–107, 135–137,136–138fundamentals, 79–82, 138–139implementation, 120–122multiple bottlenecks, 107–108, 108multiple MPEG sources, 99–105multiple ON/OFF sources, 97–99, 97–100multiple sources simulation, 128, 130–133,131–133network modeling, 83–88, 84–85, 111,111–113network topology, 123neural networks, 82–83New-Reno TCP methodology,123–124NS-2 implementation, 120–122, 121overhead analysis, 122performance, 105, 105–106, 124–125simulation, 92–96, 123–138single source simulation, 125, 126–130,128stability of systems, 83traffic rate controller design, 88–108traffic sources, 123weight updates, 91–92ATM networkscategory attributes, 7quality of service parameters, 6–7traffic impact, 2–3Autonomous systems, 60–65Available bit rate st<strong>and</strong>ard, 3

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