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Cartesian Ad Hoc Routing Protocols 289D(x d ,y d )φφφNode1Node2Node3Node4C(x c,y c)Fig. 2. Transmission area with limiting angle.Table 1. Nodes in the network.Value of φ Shape of Transmission Area Example Path Lengthφ = 180 ◦ line connecting current and destination Node1 Shortest90 ◦
290 L. Hughes, K. Shumon, and Y. Zhang2aExpected zoneDr1r2C2bD2bC2c(a) An ellipse(b) Transmission areaFig. 3. Fixedpathlengthshapes.4 TransmissionAreawithFixedPathLengthAs well as making the transmission area with a limiting angle, the area can alsobe determined from the path length. Since nodes with a fixed path length forman ellipse, the second CARP algorithm uses an ellipse as the transmission area.In Fig. 3(a), the current and destination nodes are two foci of an ellipse; thedistance between these two nodes is 2c. The major axis of the ellipse is 2a andthe minor axis of ellipse is 2b.The following equations are of interest:r 1 + r 2 =2a (2)b 2 + c 2 = a 2 (3)All the nodes located on the ellipse boundary have the same path length 2a,as shown in equation 2, while nodes located inside the ellipse have a shorter pathlength. These nodes are inside the transmission area.An expected zone is defined as the overlapping area of a circle (centred atthe destination) and the ellipse as shown in Fig. 3(b).The transmission area information for this algorithm is the current nodeaddress (x c ,y c ).4.1 Transmission Area Creation SubsystemThe parameters a, b and c determine the shape of the ellipse; however since theyare correlated as illustrated in equation 3, if any two of them are known, thethird can be calculated.The value of a is related to the radius of the expected zone, r, andthedistance between the source and the destination, 2c. Since the positions of thecurrent and destination nodes are assumed to be fixed at the transmission of thepacket, a is determined from the radius of the expected zone, r, which is relatedto the speed of the destination [7].An ellipse in a sparse network has a larger value of b than that in a densenetwork to include more nodes in the area. Fig. 3(b) shows the transmission areawith different values of b in networks with different densities.When an intermediate node forwards the packet, it substitutes the currentnode co-ordinates with its own to create the transmission area for the next hop.
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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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10 H. Dubois-Ferrière, M. Grossgla
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SAFAR: An Adaptive Bandwidth-Effici
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14 J. Doshi and P. Kilambiour proto
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16 J. Doshi and P. Kilambipacket th
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18 J. Doshi and P. Kilambibandwidth
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20 J. Doshi and P. Kilambi5 Simulat
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22 J. Doshi and P. Kilambiquery its
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24 J. Doshi and P. Kilambi4. David
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26 P. Narayan and V.R. SyrotiukThe
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28 P. Narayan and V.R. Syrotiuk2.2
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30 P. Narayan and V.R. Syrotiukrand
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32 P. Narayan and V.R. Syrotiukenti
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34 P. Narayan and V.R. SyrotiukDSRA
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36 P. Narayan and V.R. Syrotiuk7. A
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38 L. Qin and T. Kunzthese two prot
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40 L. Qin and T. Kunzsidered broken
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42 L. Qin and T. KunzP = Prdlog( )
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46 L. Qin and T. KunzFig. 5. Averag
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48 L. Qin and T. Kunz6. J. Broch et
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50 M. Diha and S. Pierrethe propose
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52 M. Diha and S. Pierre3. All proc
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54 M. Diha and S. Pierre3.3 Perform
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56 M. Diha and S. PierreCmip/Cprop0
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58 M. Diha and S. PierreThe tunneli
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Proactive QoS Routing in Ad Hoc Net
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62 Y. Ge, T. Kunz, and L. LamontFig
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64 Y. Ge, T. Kunz, and L. Lamontits
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66 Y. Ge, T. Kunz, and L. Lamonttha
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68 Y. Ge, T. Kunz, and L. Lamontwhi
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70 Y. Ge, T. Kunz, and L. Lamontver
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Delivering Messagesin Disconnected
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74 R. Shah and N.C. Hutchinson3.1 T
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76 R. Shah and N.C. Hutchinsonset c
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78 R. Shah and N.C. HutchinsonTable
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80 R. Shah and N.C. HutchinsonOracl
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82 R. Shah and N.C. Hutchinsonthe r
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Extending Seamless IP Multicast Edg
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86 P.M. Ruiz et al.Section 4 presen
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88 P.M. Ruiz et al.Access NetworkCo
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90 P.M. Ruiz et al.Access NetworkR
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92 P.M. Ruiz et al.MIGAccess Networ
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94 P.M. Ruiz et al.10.90.81-hop-750
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A Uniform Continuum Model for Scali
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98 E.W. Grundke and A.N. Zincir-Hey
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100 E.W. Grundke and A.N. Zincir-He
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102 E.W. Grundke and A.N. Zincir-He
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Probabilistic Protocols for Node Di
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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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148 J. Zhen and S. Srinivasthe time
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150 J. Zhen and S. Srinivas16. Y. H
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152 M. Just, E. Kranakis, and T. Wa
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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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204 S. Patil5 Simulation ModelSourc
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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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212 T. Chu and I. Nikolaidisenergy
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214 T. Chu and I. Nikolaidisaim at
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216 T. Chu and I. Nikolaidis12: end
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218 T. Chu and I. Nikolaidis1.8E+09
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220 T. Chu and I. Nikolaidis2.0E+10
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222 T. Chu and I. Nikolaidisattack
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224 F.J. Molina, J. Barbancho, and
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236 G. Calinescu and P.-J. Wan3.5 4
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Page 289 and 290: 278 B. Macabéo, S. Pierre, and A.
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Page 305 and 306: 3BerlinHeidelbergNew YorkHong KongL
Page 307 and 308: Series EditorsGerhard Goos, Karlsru
Page 310 and 311: Organizing CommitteeConference Co-c
Page 312 and 313: Table of ContentsSpace-Time Routing
Page 314: Author IndexAlonso, G. 104Bachir, A
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