Wireless Ad Hoc and Sensor Networks

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Distributed Power Control and Rate Adaptation 299Jantti, R. and Kim, S.L., Second-order power control with asymptotically fastconvergence, IEEE Journal on Selected Areas in Communications, Vol. 18,No. 3, March 2000.Jung, E.-S. and Vaidya, N.H., A power control MAC protocol for ad hoc networks,ACM MOBICOM, 2002.Kamerman, A. and Monteban, L., WaveLAN-II: A high-performance wireless LANfor the unlicensed band, Bell Labs Technical Journal, 118–113, Summer 1997.Karn, P., MACA—a new channel access method for packet radio, Proceedings of9th ARRL Computer Networking Conference, 1990.Lee, G. and Park, S.-C., Distributed power control in fading channel, ElectronicsLetters, Vol. 38, No. 13, 653–654, June 2002.Maniezzo, D., Cesana, M., and Gerla, M., IA-MAC: Interference Aware MAC forWLANs, UCLA-CSD Technical Report Number 020037, December 2002.Park, S.J. and Sivakumar, R., Quantitative analysis of transmission power controlin wireless ad hoc networks, Proceedings of the ICPPW'02, August 2002.Pursley, M.B., Russell, H.B., and Wysocarski, J.S., Energy efficient transmissionand routing protocols for wireless multiple-hop networks and spreadspectrumradios, Proceedings of the EUROCOMM, 2000, pp. 1–5.Rappaport, T.S., Wireless Communications, Principles and Practices, Prentice Hall,Upper Saddle River, NJ, 1999.Schurgers, C., Aberthorne, O., and Srivastava, M.B, Modulation scaling for energyaware communication system, Proceedings of the International Symposium onLow Power Electronics and Design, 2001, pp. 96–99.Singh, S. and Raghavendra, C.S., PAMAS: Power Aware Multi-Access Protocolwith Signaling for Ad Hoc Networks, ACM Computer Communication Review,Vol. 28, No. 3, July 1998, pp. 5–26.White, D.J., Dynamic Programming, Oliver and Boyd, San Francisco, CA, 1969.Woo, A. and Culler, D.E., A transmission control scheme for media access in sensornetworks, ACM Sigmobile, 2001.Ye, W., Heidermann, J., and Estrin, D., An efficient MAC protocol for wirelesssensor networks, Proceedings of the IEEE INFOCOM, 2002.Zawodniok, M. and Jagannathan, S., A distributed power control MAC protocolfor wireless ad hoc networks, Proceedings of the IEEE WCNC, Vol. 3, March2004, pp. 1915–1920.Zawodniok, M. and Jagannathan, S., Energy efficient rate adaptation MACProtocol for ad hoc wireless networks, Proceedings of IEEE InternationalPerformance Computing and Communications Conference (IPCCC), March2005, pp. 389–394.ProblemsSection 6.5Problem 6.5.1: The DPC protocol is implemented using the IEEE802.11 network. Use Equation 6.12 to calculate bit overhead foreach feedback implementation case from Problem (6.1). Assume
300 Wireless Ad Hoc and Sensor Networksa packet size of 256 bytes (octets), standard 802.11 DATA frameheader of 18 bytes (octets), size of RTS frame 24 bytes (octets), CTSframe — 18 bytes (octets), ACK frame — 20 bytes (octets), and backoffadding 5-bytes (octets) duration for each packet transmission.Section 6.6Problem 6.6.1: Redo the example in Section 6.6.1 for a random placementof 150 nodes and in the presence of fading and shadowingusing CBR data.Section 6.8Problem 6.8.1: Simulate the power control system from Table 5.4 forpower levels ranging from 1 mW to 1 W. Assume signal attenuationto change linearly first from 50 to 100 dB, and then from100 to 80 dB. The noise level is equal to 90 dBm.1. Use exact (real) values for power level transmission.2. Use rounded (integer) values for power level (in mW).3. Use rounded (integer) values for power levels (in dBm).4. Repeat (3) with Equation 6.34 and Equation 6.39 applied toadjust power and readings for discreet levels (NOTE: assumethat Pt_0 is the exact power level calculated by DPc algorithm,and Pt_k is the corresponding discreet power level to be used;using Equation 6.34, calculate the matching SNR_k.)Section 6.9Problem 6.9.1: Using Equation 6.58, calculate stable state value ofparameter G. Assume that, Q = 0.5, R = 2.4, and E{Po} = 0.1 W.(NOTE: Assume that stable state is reached if the difference betweenthe consecutive values G k and G k-1 differ less than 0.0001.) SeeTable 6.9.1.TABLE 6.9.1Dynamic Programming Parameter CalculationkN 0.500N1N2N3...G k
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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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Page 326 and 327: 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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9Predictive Congestion Control for
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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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