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On-demand Routing in MANETs 47In the ideal environment, hop count is a valid metric for selecting routes. But withshadowing model, the shortest path means that there is high possibility that two nodesare on the edge of their transmission ranges. If signal power fluctuates, the link willbe assumed broken, or more retransmissions are needed to send packets successfully.Based on the wok we did so far, we believe link status may be a better metric forselecting routes in shadowing model. The link status of a node is a historic recordwith its neighbors. A node may not add the link to the route if the link is weak. Thislink status will be monitored passively to reduce overhead. A node may keep multipleroutes to the same destination, and these routes can be ordered based on their status.Updating the route status is a future research topic, especially for inactive routes.However, salvaging is a mechanism that has to be used carefully. Sometimes thesender may salvage the packet only because of not receiving the ACK. The consequenceof aggressively using salvaging is that the same packet is transmitted on multipleroutes to the same destination, and multiple Route Error messages are sent to thesource, which cause longer packet delay, duplicated packets and wastes network resource.We are currently working on(1) Route maintenance: because of node mobility, selected solid routes may becomeunstable again. A node may monitor the signal strength for packets received/overheardfrom its neighbors, and inform the source once the link quality drops below acertain threshold. Alternatively, a node could monitor the number of retransmissionattempts necessary to forward a packet to the next node and deduce the link qualityand its rate of change in that way.(2) Finding an appropriate threshold for different node density and β values. We canalso use different thresholds for Route Requests and Route Replies so that a sourcecan discover at least one route to send packets. This may be done adaptively, where asource node may have to reduce the threshold if it cannot discover a route.(3) More formally defining equivalent simulation scenarios under different parametersof the physical layer model as well as exploring additional physical layer models.References1. C. E. Perkins and P. Bhagwat, Highly Dynamic Destination-Sequenced Distance-VectorRouting (DSDV) for Mobile Computers, Proceedings of the Conference on CommunicationsArchitectures, Protocols and Applications, pages 234-244, London, England August,1994.2. V. Park and M.S. Corson, A Highly Adaptive Distributed Routing Algorithm for MobileWireless Networks, Proceedings of the IEEE Conference on Computer Communications(INFOCOM ’97), Kobe, Japan, April 1997.3. D. B. Johnson and D. A. Maltz, Dynamic Source Routing in Ad Hoc Wireless Networks.In Mobile Computing, Chapter 5, pages 153-181, Kluwer Academic Publishers, 1996.4. R. Dube et al., Signal Stability-Based Adaptive Routing (SSA) for Ad Hoc Networks.IEEE Personal Communications, February 1997.5. C. E. Perkins and E. M. Royer, Ad-hoc On-Demand Distance Vector Routing. Proceedingsof the 2 nd IEEE Workshop on Mobile Computing Systems and Applications, pages 90-100,New Orleans, LA, February 1999.
48 L. Qin and T. Kunz6. J. Broch et al., A Performance Comparison of Multi-Hop Wireless Ad Hoc Network RoutingProtocols. Proceedings of the Fourth Annual ACM/IEEE International Conference onMobile Computing and Networking, Dallas, TX, October 1998.7. R. Samir et al., Performance Comparison of Two On-demand Routing Protocols for AdHoc Networks. Proceedings of the IEEE Conference on Computer Communications(INFOCOM), pages 30-12, Tel Aviv, Israel, March 2000.8. M. Takai, R. Bagrodia, K. Tang and M. Gerla, Efficient Wireless Network Simulationswith Detailed Propagation Models. Wireless Networks, pages 297-305, Vol. 7 No. 3, May2001.9. T. Goff and N. B. Abu-Ghazaleh, Preemptive Routing in Ad Hoc Networks. Proceedingsof the Seventh Annual International Conference on Mobile Computing and Networking,pages 43-52, Rome, Italy, July 2001.10. T. S. Rappaport, Wireless Communications: Principles and Practice. Second edition. 2002,Prentice Hall PTR. ISBN 0-13-042232-0.11. E. M. Royer and C. -K. Toh, A Review of Current Routing Protocols for Ad-Hoc MobileWireless Networks. IEEE Personal Communications Magazine, pages 46-55, April 1999.12. K. Fall and K. Varahan, editors. NS Notes and Documentation. The VINT Project, UCBerkeley, LBL, USC/ISI, and Xerox PARC, November 1997, seehttp://www.isi.edu/nsnam/ns/.13. C. Bettstetter, On the Minimum Node Degree and Connectivity of a Wireless MultihopNetwork. Proceedings of the 3rd ACM International Symposium on Mobile Ad Hoc Networkingand Computing (MobiHoc), pages 80-91, Lausanne, Switzerland, June 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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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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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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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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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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248 C.J. Colbourn, V.R. Syrotiuk, a
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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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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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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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