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On the Interaction of Bandwidth Constraints and Energy Efficiency 221Fraction of Infeasible Solutions10.90.80.70.60.50.40.30.20.10N=10N=20N=30N=500 0.5 1 1.5 2Offered Traffic LoadFig. 4. Percentage of infeasible solutions corresponding to the Fig. 3.consumption curve rises when the load is around than 0.6. A similar observationfrom the previous result is that the global energy consumption increases as thenumber of participating node decreases. Still, as the load increases, the global energyconsumption curve rise abruptly capturing an, almost exponential, increaseof energy consumption in order to produce a feasible solution. The first explanationis that the energy consumption rises quickly because we do not find twoparticular small amount energy transmissions to replace via the inverse-trianglerelaxation. Another reason is, of course, that the load cannot be accommodated.4 ConclusionsIn this paper we considered the problem of energy minimization in a bandwidthconstrained ad hoc wireless environment. The apparent tendency of energy minimizationto reduce transmission radii would appear to be in agreement withspatial reuse (which benefits from transmission radius reduction as well). Unfortunately,in a bandwidth constrained setting, it becomes immediately obviousthat minimization of energy results in longer paths, adding to the congestion anddiminishing the benefits of spatial reuse. The observation applies to large networkconfigurations, leaving potential for smaller network configurations (loadwiseand node-wise) to still benefit by the choice of the right path constructionheuristic. Two such heuristics are studied in this paper, and it appears that ascheme that attempts to reduce the load of relay nodes could result in improvedperformance for a modest sacrifice in energy consumption. The next step is to
222 T. Chu and I. Nikolaidisattack the problem from the viewpoint of optimization to appreciate how theintroduction of each capacity constraint diverts the search towards the mimimalenergy solution.References1. P. Gupta and P. Kumar, “Capacity of Wireless Networks,” IEEE Transactions onInformation Theory, vol.46, no 2, p.388-404, Mar 2000.2. J. E. Wieselthier, G. Nguygen, and A. Ephremides, “On the Construction of EnergyEfficient Broadcast and Multicast trees in Wireless Networks,” In Proc. of IEEEINFOCOM 2000, Tel-Aviv, Israel, vol.2, p.585-594, Mar 2000.3. A. Medina, N. Taft, K. Salamatian, S. Bhattacharyya, and C. Diot, “Traffic MatrixEstimation: Existing Techniques and New Directions,” In Proc. of the 2002 conferenceon Applications, Technologies, Architectures, and Protocols for ComputerCommunications, Pittsburgh, Pennsylvania, USA, p.161-174, Aug 2002.4. M. Marina, G. Kondylis, and U.C. Kozat, “RBRP: A Robust Broadcast ReservationProtocol for Mobile Ad Hoc Networks,” In Proc. of IEEE/ICC-2001, Helsinki,Finland,vol.3, p.878-885, Jun 2001.5. Z. Tang and J. Garcia-Luna-Aceves, “A Protocol for Topology-Dependent TransmissionScheduling,” In Proc. of IEEE WCNC 1999, New Orleans, Las Angelas,USA, vol.3, p.1333-1337, Sep 1999.6. M. Cagalj, J.-P. Hubaux, and C. Enz, “Minimum-Energy Broadcast in All-WirelessNetworks: NP-Completeness and Distribution Issues,” In Proc. of 8 th Annual InternationalConference on Mobile Computing and Networking, Atlanta, Georgia, USA,p.172-182, Sep 2002.7. V. Guruswami, S. Khanna, B. Shepherd, R. Rajaraman and M. Yannakakis, “Near-Optimal Hardness Results and Approximation Algorithms for Edge-Disjoint Pathsand Related Problems,” In Proc. of the 31 st Annual ACM Symposium on Theoryof Computing, Atlanta, Georgia, USA, p.19-28, May 1999.8. V. Tandon, A. Frank, and Z. Vegh, “Node-capacitated Multicommodity Routing fora Ring,” Math. of Operations Research, vol.27, no.2, p.372-383, May 2002.
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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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168 H.-P. Bischof, A. Kaminsky, and
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Page 187 and 188: 176 G. Calinescuof the UDG 2-hops a
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Page 207 and 208: 196 S.O. Krumke et al.1. Let α =6l
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Page 219 and 220: 208 S. PatilTable 1. Probability of
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272 M.K. Denko and Q.H. MahmoudAn i
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274 M.K. Denko and Q.H. Mahmoud3.1
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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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282 A. Benslimane and A. BachirIn [
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284 A. Benslimane and A. BachirFig.
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286 A. Benslimane and A. Bachir5 Co
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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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