Wireless Ad Hoc and Sensor Networks

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Predictive Congestion Control for Wireless Sensor Networks 459Hull, B., Jamieson, K., and Balakrishnan, H., Mitigating congestion in wirelesssensor networks, Proceedings of the ACM SenSys, 2004.Jagannathan, S., End to end congestion control in high-speed networks, Proceedingsof the IEEE LCN, 2002, pp. 547–556.Jagannathan, S., Neural Network Control of Nonlinear Discrete-Time Systems, Taylorand Francis (CRC), Boca Raton, FL, 2006.Kuo, W.-K. and Kuo, C.-C.J., Enhanced backoff scheme in CSMA/CA for IEEE802.11, Proceedings of the IEEE Vehicular Technology Conference, Vol. 5, October2003, pp. 2809–2813.Peng, M., Jagannathan, S., and Subramanya, S., End to end congestion control ofmultimedia high speed Internet, Journal of High Speed Networks, to appearin 2006.Regatte, N. and Jagannathan, S., Adaptive and distributed fair scheduling schemefor wireless ad hoc networks, Proceedings of the World Wireless Congress, May2004, pp. 101–106.Vaidya, N.H., Bahl, P., and Gupta, S., Distributed fair scheduling in a wirelessLAN, Proceedings of the 6th Annual International Conference on Mobile Computingand Networking, August 2000, pp. 167–178.Wan, C.-Y., Eisenman, S., and Campbell, A., CODA: congestion detection and avoidancein sensor networks, Proceedings of the ACM SenSys'03, Los Angeles, CA,November 2003, pp. 266–279.Wang, S.-C., Chen, Y.-M., Lee, T.H., Helmy, A., Performance evaluations for hybridIEEE 802.11b and 802.11g wireless networks, Proceedings of the 24th IEEEIPCCC, April 2005, pp. 111–118.Yi, Y. and Shakkottai, S., Hop-by-hop congestion control over wireless multi-hopnetworks, Proceedings of IEEE INFOCOM, Vol. 4, Hong-Kong, March 2004,pp. 2548–2558.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., Dynamic programming-based rate adaptationand congestion control MAC protocol for wireless ad hoc networks,Proceedings of the 2006 IEEE Conference on Local Computer Networks, to appearin November 2006.Zawodniok, M. and Jagannathan, S., Predictive congestion control MAC protocolfor wireless sensor networks, Proceedings of the International Conference onControl and Automation (ICCA), Vol. 1, June 2005, pp. 185–190.ProblemsSection 9.3Problem 9.3.1: Simulate the queue utilization state equation (Equation9.2) with the congestion control scheme, using Equation 9.5
460 Wireless Ad Hoc and Sensor Networksfor the selection of incoming flow rate and estimating the outgoingrate with the neural network equation for traffic parameterupdates (Equation 9.10). Assume that the outgoing flow ratechanges from the initial 5 packets per interval to 7 packets perinterval at iteration 10. Calculate estimated value of outgoingflow, estimation error, queue level, and the difference from idealqueue utilization. The queue size is equal to 20 packets, the idealqueue utilization is equal to 10 packets, l = 0.001, and k bv = 0.1.Assume that the disturbance, d(k), is equal to zero.Problem 9.3.2: Repeat simulation in Problem 9.3.1 with disturbance,d(k), altering between +1 and 1 for each iteration ( d( k) = k mod2).Section 9.4Problem 9.4.1: Select a high-density WSN with several cluster heads.Redo Example 9.4.1.Problem 9.4.2: Redo Example 9.4.2 using a high-density ESN consistingof 150 nodes.Problem 9.4.3: Redo Example 9.4.3 by varying the packet size at thebuffers. Plot end-to-end delay, queue utilization, and energyefficiency.
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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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