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SAFAR: An Adaptive Bandwidth-Efficient Routing Protocol 236 Optimization of PowerAs mentioned earlier, our protocol can switch over from the bandwidth to thepower domain during its operation. In this section, we show that bandwidth andpower are interchangeable.To make SAFAR power centric, the bandwidth field of a node is replacedwith a power field(in battery time remaining). Using this, it again selects nodeswhich will be ‘alive’ for a longer time.Table build-up phase: This is in direct correspondence with a high bandwidthnode, since a node with higher battery power would be able to sustain moredata and routing traffic. This would also provide relief to nodes with low power,as they would not have to handle requests other than their own traffic. A nodewith low power would not be concerned with route efficiency and latency. Sinceit has low power, it would have few nodes in the proactive list and hence wouldnot spend too much time with Type-1 querying. Instead, it proceeds directly toType-2 querying which is more likely to yield a route, and also consumes lesspower in that node, than a combined Type-1 Type-2 mechanism, as it has totransmit more packets which corresponds to more transmission power. Again ithas to be noted that this is achieved completely dynamically. In case of multipleresponses in the power domain, the path having the maximum least battery timeis chosen.7 ConclusionIn this paper, we have presented and evaluated a bandwidth adaptive hybrid protocolthat is well suited for operation in mobile ad hoc networks. The protocoluses a table build-up procedure whose little overhead is well used in the dynamicmaintenance of neighboring nodes on the basis of bandwidth fitness. This alsoleads to reducing the route acquisition latency and hence reduces routing overhead.It was also seen that the protocol adapts to varying high traffic conditions,wherein a node is given the option of reducing its traffic by preventing othersfrom using it. An improvement to the protocol will be in using a hybrid costfactor, which includes both power and bandwidth instead of one of them purely,making it a better estimate of the network’s performance constraint.References1. J Macker, S Corson: “Mobile Ad hoc Networking (MANET): Routing ProtocolPerformance Issues and Evaluation Considerations”, Internet draft, January ’99.2. Charles E. Perkins and Pravin Bhagwat: “Highly dynamic Destination-SequencedDistance-Vector routing (DSDV) for mobile computers”,pages 234-244, In Proceedingsof the SIGCOMM ’94 Conference on Communications Architectures, Protocolsand Applications, August ’94.3. Charles E. Perkins and Elizabeth M. Royer: “Ad Hoc On Demand Distance Vector(AODV) algorithm”, In Proceedings of WMCSA’99, New Orleans, LA, February’99.
24 J. Doshi and P. Kilambi4. David B. Johnson and David A. Maltz: “Dynamic source routing in Ad hoc wirelessnetworks”, In Mobile Computing, edited by Tomasz Imielinski and Hank Korth,chapter 5, pages 153-181, Kluwer Academic Publishers, ’96.5. Vincent D. Parka and M. Scott Corsonba: “A Highly Adaptive Distributed RoutingAlgorithm for Mobile Wireless Networks-Temporally-Ordered Routing Algorithm(TORA)”,In Proceedings of Infocom ’97.6. Zygmunt J. Haas, Marc R. Pearlman: “Zone Routing Protocol”, Internetdraft,, MARCH ’03.7. Mario Gerla, Xiaoyan Hong, Guangyu Pei: “Landmark Routing for Large ScaleWireless Ad Hoc Networks with Group Mobility”, In Proceedings of Mobihoc 2000,Boston, MA, November ’00.8. Suresh Singh, Mike Woo and C S Raghavendra: “Power Aware Routing in MobileAdhoc Networks”, pages 181-190, In Proceedings of MobiCom’98.9. Javier Gomez, Andrew T. Campbell, Mahmoud Naghshineh and Chatschik Bisdikian:“Conserving Transmission Power in Wireless ad hoc Networks”, In Proceedingsof IEEE 9th International Conference on Network Protocols, Riverside,California, November ’01.10. Venugopalan Ramasubramaniam, Zygmunt J.Haas and Emin Gün Sirer: SHARP:A Hybrid Adaptive Routing Protocol for Mobile Ad Hoc Networks, pages 303-314,In Proceedings of Mobihoc ’03.11. David E Goldberg: Genetic Algorithms in Search, Optimization and MachineLearning, pages 76-80, Pearson Education - 1999.12. David B. Johnson, Josh Broch, David A. Maltz, Yih-Chun Hu, and JorjetaJetcheva: “A performance comparison of Multi-Hop Wireless Ad Hoc NetworkRouting Protocols”, In Proceedings of MobiCom ’98.
Page 2 and 3: Lecture Notes in Computer Science 2
Page 4 and 5: Samuel Pierre Michel BarbeauEvangel
Page 6: PrefaceAd Hoc Networks are wireless
Page 9 and 10: Program CommitteeG. Alonso, ETHZ, S
Page 11 and 12: XTable of ContentsResisting Malicio
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Extending Seamless IP Multicast Edg
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A Uniform Continuum Model for Scali
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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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Towards Adaptive WLAN Frequency Man
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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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176 G. Calinescuof the UDG 2-hops a
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178 G. CalinescuSection 3 describe
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182 G. CalinescuRyvxFig. 3. The unn
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184 G. Calinescu< nodeID, pieceID,
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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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206 S. PatilAvg. Aggregate Energy C
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210 S. Patilergy consumption of the
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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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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
Page 314:
Author IndexAlonso, G. 104Bachir, A
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