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4 Future WorksAutomated Meter Reading and SCADA Application 233For the proposed network, we are currently working on network simulation,self-configuration and optimization of ASCADA services performance. For thelatter, we are studying two complementary polling schedules: Avalanche tokenpassing and data catching/pre-collecting. To reduce interference and to enhancepolling order diffusion, each node sends two or more tokens to the children andresponses are aggregated to send a single response to the root. Nodes must beselected in such a way that interference probability would be the least possible.Data catching and pre-collecting schemes use data validation to update storeddata. Nodes save data from their children with a timestamp, so when a pollingtoken arrives, the node may use this data without passing it to them. Catchingupdate strategies, as periodically or predictive pre-collecting, must be designedto minimize data age and optimize network performance.Execution times and network overload optimization are the main objectivesof algorithms presented in this paper. Reliability however, must also be an importantcharacteristic for a SCADA system.Currently, we are working on reliability enhancement. Services such as ordermessaging and alarm transmissions can be critically affected by local failures,interference or collisions. Reliability must be present in all protocol layers, butespecially in application and network layers. Some characteristics previously outlinedmay raise reliability in application layers: order sequencing, encrypted messages,etc. At the network layer, we are researching a routing algorithm able tofind an alternate path when an error has occurred. We are testing a modificationof the Fish Eye Routing and other algorithms [20,21].AcknowledgmentAll of this work has been made possible thanks to the project being jointly financedby the Spanish Government (MYCT-Ministerio de Ciencia y Tecnología)and private companies, in particular EMASESA and ISOTROL.References1. A. Bond. The water industry (automatic meter reading). IEE Colloquium on ‘LowPower Radio and Metering’. IEE, London, UK, (Digest No.1994/060), 1994.2. Philips M. Adams, B. Trends towards standard communications for metering.Ninth International Conference on Metering and Tariffs for Energy Supply. IEE,London, UK, (Conf. Publ No.462), 1999.3. A.M. Fox. The business case for radio based amr. IEE Colloquium on ‘Low PowerRadio and Metering’. IEE, London, UK, (Digest No.1994/060), 1999.4. Radford D. Mak, S. Design considerations for implementation of large scale automaticmeter reading systems. IEEE Transactions on Power Delivery, 10(DigestNo.1994/060), Jan 1995.5. F.J. Molina, M.G. Gordillo, J. Luque, and J. Barros. Radio network architecturefor automatic meter reading. Conférence Internationale des Grandes RéseauxÉlectiques, Krakow POLAND, 1999.
234 F.J. Molina, J. Barbancho, and J. Luque6. J. Broch, D. A. Maltz, D. B. Johnson, Y.C. Hu, and J. Jetcheva. A performancecomparison of multi-hop wireless ad hoc network routing protocols. MOBICOM,Dallas, TX, Aug 1998.7. E. Royer and C.K. Toh. A review of current routing protocols for ad hoc mobilewireless networks. IEEE Personal Communications, 6, Apr 1999.8. S. Das, C. Perkins, and E. Royer. Performance comparison of two on-demandrouting protocols for ad hoc networks. IEEE, INFOCOM 2000, 2000.9. Z. J. Wang and J. Crowcroft. Analysis of shortest-path routing algorithms in adynamic network environment. ACM SIGCOMM, 1992.10. J. Behrens and J. J. Garcia-Luna-Aceves. Hierarchical routing using link vectors.IEEE, INFOCOM 1998, 1998.11. J. J. Garcia-Luna-Aceves and M. Spohn. Source-tree routing in wireless networks.Proc. IEEE ICNP 99, 7th ntl. Conference on Network Protocols, Toronto, Canada,Oct 1999.12. D. B. Johnson and D. A. Maltz. Dynamic Source Routing in Ad Hoc WirelessNetworks. In Mobile Computing. Kluwer Academic Publishers, 1996.13. C. E. Perkins and E. M. Royer. Ad-hoc on demand distance vector routing. WM-CSA’99, New Orleans, LA, Feb 1999.14. Couto and B Aguayo. Performance of multihop wireless networks: Shortest pathis not enough. Proceedings of the HotNets, Princeton, New Jersey, Oct 2000.15. S. Singh and C. S. Raghavendra. Power aware routing in mobile ad hoc networks.Proceedings of MOBICOM, 1998.16. Chandrakasan A. Heinzelman, R. W. and H. Balakrishnan. Energy-eficient routingprotocolsfor wireless microsensor networks. In Hawaii International Conferenceon System Sciences (HICSS ’00), Jan 2000.17. G.A. Cheston and S. T. Hedetniemi. Polling in tree networks. Proc. Second WestCoast Conf. Computing in Graph Theory, 1983.18. A. A. Rescigno. Optimal polling in communication networks. Parallel and DistributedSystems, IEEE Transactions on, 8, May 1997.19. T. Imielinski and S. Goel. Querying and monitoring deeply networked collectionsof physical objects. Proceedings of MobiDE’99, (Seattle, Washington), 8, Aug 1999.20. Gerla M. Pei, G. and T. W. Chen. Fisheye state routing: A routing scheme for adhoc wireless networks. Proceedings of ICC 2000, New Orleans, LA, 8, Jun 2000.21. M. Spohn and J.J. Garcia-Luna-Aceves. Neighbourhood aware source routing.Proc. of ACM Symposium on Mobile Ad Hoc Networking and Computing (Mobi-HOC ’01), 2001.
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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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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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78 R. Shah and N.C. HutchinsonTable
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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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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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Preventing Replay Attacks for Secur
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142 J. Zhen and S. SrinivasTraffic
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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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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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