Wireless Ad Hoc and Sensor Networks

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Optimized Energy and Delay-Based Routing 427Manjeshwar, A. and Agrawal, D.P., APTEEN: A hybrid protocol for efficient routingand comprehensive information retrieval in wireless sensor networks,Proceedings of International Parallel and Distributed Processing Symposium(IPDPS 2002), April 2002, pp. 195–202.Manjeshwar, A. and Agrawal, D.P., TEEN: a routing protocol for enhanced efficiencyin wireless sensor networks, Proceedings of the 15th Parallel DistributedProcessing Symposium, 2001, pp. 2009–2015.Mock, M., Frings, R., Nett, E., and Trikaliotis, S., Clock synchronization for wirelesslocal area networks, Proceedings of the 12th Euromicro Conference on Real-TimeSystems, June 2000, pp. 183–189.Park, V.D. and Corson, M.S., A highly adaptive distributed routing algorithm formobile wireless networks, Proceedings of the IEEE INFOCOM '97, Vol. 3, April1997, pp. 1405–1413.Perkins, C.E. and Bhagwat, P., Highly dynamic destination-sequenced distancevectorrouting (DSDV) for mobile computers, ACM SIGCOMM’94, pp. 234–244,1994.Perkins, C.E., Belding, E., and Das, S., Ad hoc on-demand distance vector (AODV)routing IETF MANET Working Group, Internet Draft, draft-ietf-manet-aodv-13.txt, February 2003.Qayyum, A., Viennot, L., and Laouiti, A., Multipoint relaying for flooding broadcastmessages in mobile wireless networks, Proceedings of the 35th AnnualHawaii International Conference on System Sciences, January 2002, pp. 3866–3875.Ratnaraj, S., Jagannathan, S., and Rao, V., Optimal energy-delay subnetwork routingprotocol for wireless sensor networks, Proceedings of IEEE Conference onNetworking, Sensing and Control, April 2006, pp. 787–792.Ratnaraj, S., Jagannathan, S., and Rao, V., SOS: self-organization using subnetworkfor wireless sensor network, to appear in 2006 SPIE Conference, San Diego,CA.Regatte, N. and Jagannathan, S., Optimized energy-delay routing in ad hoc wirelessnetworks, Proceedings of the World Wireless Congress, May 2005.Sivakumar, R., Sinha, P., and Bharghavan, V., CEDAR: a core-extraction distributedad hoc routing algorithm, IEEE Journal on Selected Areas in Communications,Vol. 17, No. 8, 1454–1465, August 1999.Ye, F., Zhong, G., Lu, S., and Zhang, L., GRAdient broadcast: a robust, long-livedlarge sensor network, ACM Wireless Networks, Vol. 11, No.2, March 2005.Ye, F., Zhong, G., Lu, S., and Zhang, L., PEAS: a robust energy conserving protocolfor long-lived sensor networks, Proceedings of 23rd International Conferenceon Distributed Computing Systems (ICDCS), May 2003, pp. 28–37.Ying, G., Kunz, T., and Lamont, L., Quality of service routing in ad-hoc networksusing OLSR, Proceedings of the 36th Annual Hawaii International Conference onSystem Sciences, January 2003, pp. 300–308.Zhang, J., Yang, Z., Cheng, B.H., and McKinley, P.K., Adding safeness to dynamicadaptive techniques, Proceedings of ICSE 2004 Workshop on ArchitectingDependable Systems, May 2004.
428 Wireless Ad Hoc and Sensor NetworksProblemsSection 8.5Problem 8.5.1: Redo Example 8.5.1 for a 300-node network, using thesame parameters defined in the example. Compare the resultsobtained from OEDR, OLSR and AODV.Problem 8.5.2: Redo Example 8.5.2 by varying network size consistingof 300 nodes to 3000, with the node increment value of 150. Discussresults using average delay, throughput over delay, energy anddelay product, and contention time with number of nodes.Section 8.8Problem 8.8.1: For topology presented in Figure 8.20, calculate thenumber of routing messages transmitted during route discoveryfor OEDSR protocol.Problem 8.8.2: For topology presented in Figure 8.20, calculate thenumber of routing messages transmitted by the AODV protocol(the source floods the whole network with route request messagewhile assuring only single transmission by each node; then theroute replay message is passed from destination to source alongthe same route as for OEDSR in Problem 8.8.1).Problem 8.8.3: Derive a general equation for the number of routingmessages transmitted for the AODV routing scheme. Assume thatall n nodes in the network will be involved in routing. Considerthe number of hops in the final route as a parameter of the equation.Problem 8.8.4: Derive general equation for number of routing messagestransmitted for OEDSR scheme. Assume that for n nodesin the network there will be only fraction, 0 < α < 1, of the nodesinvolved in the routing. This will correspond to a source beinginside the network area. Consider the number of hops in the finalroute as a parameter of the equation.Section 8.9Problem 8.9.1: Redo the Example 8.9.1, with higher node densitynetworks consisting of 300 and above.Problem 8.9.2: Repeat Problem 8.9.1, with a mobile BS. Compare theresults with those of Problem 8.9.1.Problem 8.9.3: Redo Example 8.9.4, with node density starting at 300,and with an increment of 100 nodes until 3000. Introduce channelfading and plot packets dropped, throughput, energy consumed,and E2E delay.
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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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