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Architecture and Algorithms for Real-Time Mobility Management 55Our goal is to reduce the location update and the tunneling times by respectively atleast 50% and 25%. Then u = U/2 and l = L/4. We make the following assumptionsto simplify the analysis L = U, T = U/4 = u/2 and U = 1, that leads to:UUPROPU= =u uMIP1(6)CCMIPPROPLLMIP 2PROPL= =l uU (4 + 5CMR)4 + 5CMR==4u+ 2CMR4u+ 2CMR(7)(8)Figures 4 shows the location update cost for different values of the CMR andu = 0.2.Location updatetotal cost25201510500 1 2CMRProposedMIPFig. 4. Comparison of location update total cost (u = 0.2)Figures 5 illustrates the location update cost for different values of the CMR andu = 0.5.Location updatetotal cost25201510500 1 2CMRProposedMIPFig. 5. Comparison of location update total cost (u = 0.5).Figure 6 shows the location update cost and the ratio C MIP/C PROPfor different valuesof the CMR for u = 0.2 and 0.5.
56 M. Diha and S. PierreCmip/Cprop0.90.80.70.60.50.5 1 1.5 2CMRu = 0.5u = 0.2Fig. 6. Comparison of ratio C MIP/C PROPOn Figures 4 and 5 we noticed that the proposed model reduces by 80% the locationupdate time for u = 0.2 and by 50% for u = 0.5 for small values of the CMR. Thereason is that in this case the mobile users make an important number of locationupdate requests and the processing on the multiprocessor HA in the proposed architectureis faster compared with the mobile IP model. When the CMR increases, themobile users stay longer in the same network and, in this case, the location updatetime decreases and is near 0 for the two models. For the total costs (location updateplus tunneling) shown in Figure 6, the reduction is between 67% and 80% for u = 0.2and between 50% and 60% for u = 0.5.We can conclude that the proposed model offers a better performance based on theCMR. Indeed, it takes less time for the location update and the tunneling in the proposedmodel compared with the Mobile IP model. These results are very useful andinteresting for a real-time context where the factor time is very important. To validatethe analysis, we conducted different simulations in section 4.4 Computational ResultsFigure 7 shows the setup for the different simulations. The network used is anEthernet based LAN 10/100 Mbps with an 8-Port Ethernet Hub.Fig. 7. Simulation SetupWe simulated the implementation of the current mobile IP algorithms as well asthe proposed architecture and algorithms in a real-time environment using VxWorksas real-time Operating System running on a MPPC (Motorola TM Power PC). Our
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Lecture Notes in Computer Science 2
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Samuel Pierre Michel BarbeauEvangel
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PrefaceAd Hoc Networks are wireless
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Program CommitteeG. Alonso, ETHZ, S
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XTable of ContentsResisting Malicio
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2 H. Dubois-Ferrière, M. Grossglau
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106 G. Alonso et al.A node discover
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108 G. Alonso et al.frequency alloc
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110 G. Alonso et al.- D is a diagon
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112 G. Alonso et al.and therefore,
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114 G. Alonso et al.complicated. Fo
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Towards Adaptive WLAN Frequency Man
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118 F. Gamba, J.-F. Wagen, and D. R
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Analyzing Split Channel Medium Acce
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130 J. Deng, Y.S. Han, and Z.J. Haa
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Preventing Replay Attacks for Secur
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142 J. Zhen and S. SrinivasTraffic
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144 J. Zhen and S. SrinivasFig. 2.
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146 J. Zhen and S. Srinivasbeginnin
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A New Framework for Building Secure
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166 H.-P. Bischof, A. Kaminsky, and
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176 G. Calinescuof the UDG 2-hops a
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178 G. CalinescuSection 3 describe
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180 G. CalinescuWhen receiving a pa
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182 G. CalinescuRyvxFig. 3. The unn
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184 G. Calinescu< nodeID, pieceID,
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186 G. Calinescu7. Heinz Breu and D
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188 S.O. Krumke et al.desirable in
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190 S.O. Krumke et al.2.2 Bicriteri
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192 S.O. Krumke et al.1. From the g
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194 S.O. Krumke et al.The following
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196 S.O. Krumke et al.1. Let α =6l
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198 S.O. Krumke et al.for any given
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200 S. PatilIDEA uses the concept o
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202 S. PatilAfter flooding the quer
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206 S. PatilAvg. Aggregate Energy C
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208 S. PatilTable 1. Probability of
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210 S. Patilergy consumption of the
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218 T. Chu and I. Nikolaidis1.8E+09
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260 S. Bhadra and A. Ferreirathe mo
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266 S. Bhadra and A. FerreiraThis s
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268 S. Bhadra and A. FerreiraTheore
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276 M.K. Denko and Q.H. Mahmoud5. D
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278 B. Macabéo, S. Pierre, and A.
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280 B. Macabéo, S. Pierre, and A.
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284 A. Benslimane and A. BachirFig.
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288 L. Hughes, K. Shumon, and Y. Zh
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3BerlinHeidelbergNew YorkHong KongL
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Series EditorsGerhard Goos, Karlsru
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Organizing CommitteeConference Co-c
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Table of ContentsSpace-Time Routing
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Author IndexAlonso, G. 104Bachir, A
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