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Automated Meter Reading and SCADA Application 225Fig. 1. Radio AMR topology model.Table 1. Radio ranges on different scenarios and 100mW radiated power.Band Indoors Outdoors Outdoors(with obstacles) (with in line-sight)433 MHz
226 F.J. Molina, J. Barbancho, and J. LuqueThe End Devices used include radio OEMs which are compliant with ETS300-220. In European cities, most of them are located indoors (but shouldn’t), sothe radio range ends up being about 100 m (433 MHz band). The Radio Networkconsists of many End Devices forming a dense network where each node needs amultihop transmission to reach the Utility Controller node. There is no planningto select node locations, so the network topology has an arbitrary structure likean ad-hoc network, although the amount of nodes will be greater (thousands formedium size cities).Currently, ad-hoc networks are classified into two categories:1. Mobile Ad-hoc Networks -MANET.2. Sensor Ad-hoc Networks.Although the proposed network has some common aspects with sensor networks,it differs from both:– Nodes have no mobility.– Communication is usually between nodes and the UC.– Power is not a main priority.– Nodes are prone to failure.– They are densely deployed within the range area.– There are few topological changes (on very few occasions a node is added oreliminated and radio range changes rarely occur).Ad-hoc networks do not have any special nodes. However, for an applicationlayer, the Utility Controller will have true a special node. We will use thisproperty for optimizing network performance. To measure the relationship betweenthese network performances and topology, we define a simple parameter -Medium Number of Hops a node needs to reach the Utility Controller. is relatedto medium access time from UC to a node, and to global polling time, also. Wehave estimated in various scenarios. The first one is shown in figure 2, and itassumes the following conditions:1. Network nodes are uniformly distributed across the city, so we can define adensity parameter.2. All devices are indoors, so the radio range will be short and the same for allof them.3. UC is located at center of the net.We will refer to this topology as SR - Short Range Topology. We have proventhat depends mainly on geometric parameters, and it can be computed approximatelywhen R GC ≫ R SR as it follows:WhereNH ≈ 2 3 H = 2 R GC(1)3 R SR– R GC - Global Radius. It is the radius of a circle that covers all nodes in thecity or a significant number of them.
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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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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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