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Probabilistic Protocols for Node Discovery 1152. D. Bertsekas and R. Gallager, Data Networks, Prentice Hall, 1992.3. G. Blom and D. Thoburn, How Many Random Digits Are Required Until GivenSequences Are Obtained, J. Applied Probability, 19, 518-531, 1982.4. BlueHoc: An Open-Source Simulator,http://oss.software.ibm.com/developerworks/opensource/bluehoc.5. Ericsson Microelectronics: ROK 101 007 Bluetooth Module Datasheet Rev. PA5,April 2000.6. R. Garcés, J.J. Garcia-Luna-Aceves, Collision Avoidance and Resolution MultipleAccess for Multichannel Wireless Networks, IEEE Infocom 2000, March 26 - 30,2000, Tel-Aviv, Israel.7. W. Feller, An Introduction to Probability Theory and its Applications, Vol. II,Wiley, 1966.8. J. Haartsen, Bluetooth Baseband Specification v. 1.0, www.Bluetooth.com.9. O. Kasten, M. Langheinrich, First Experiences with Bluetooth in the Smart-ItsDistributed Sensor Network, Workshop on Ubiquitous Computing and Communications,PACT 2001, October 2001.10. C. Law, A.K. Mehta, K.-Y. Siu, Performance of a Bluetooth Scatternet FormationProtocol, The Second ACM Annual Workshop on Mobile Ad Hoc Networking andComputing (mobiHoc 2001), October 4-5, 2001, Long Beach, California, USA.11. S. R. Li, A Martingale Approach to the Study of Occurrence of Sequence Patternsin Repeated Experiments, Annals of Probability, 8, 1171- 1176, 1980.12. C.E. Perkins, editor, Ad Hoc Networking, Addison Wesley, 2001.13. S. Ross, Stochastic Processes, John Wiley and Sons, 2nd edition, 1996.14. T. Salonidis, P. Bhagwat, L. Tassiulas, Proximity Awareness and Fast ConnectionEstablishment in Bluetooth, The First ACM Annual Workshop on MobileAd Hoc Networking and Computing (MobiHoc 2000), August 11, 2000, Boston,Massachusetts, USA.15. T. Salonidis, P. Bhagwat, L. Tassiulas, R. LaMaire, Distributed Topology Constructionof Bluetooth Personal Area Networks, In Proceedings of the TwentiethAnnual Joint Conference of the IEEE Computer and Communications Societies(INFOCOM 2001), April 22 - 26, 2001, Anchorage, Alaska, USA.16. F. Siegemund and M. Rohs, Rendezvous Layer Protocols for Bluetooth-EnabledSmart Devices, Technical Report, 1st International Conference on the Architectureof Computer Systems, ARCS - Trends in Network and Pervasive Computing, 2002.
Towards Adaptive WLAN Frequency ManagementUsing Intelligent AgentsFiorenzo Gamba 1 , Jean-Frédéric Wagen 1 , and Daniel Rossier 21University of Applied Sciences of Western SwitzerlandBd de Pérolles 80, 1705 Fribourg, Switzerland{gamba,wagen}@eif.ch2Swisscom Innovations AG, Ostermundigenstrasse 93, 3006 Bern, Switzerlanddaniel.rossier@swisscom.comAbstract. Private, corporate and public Wireless Local Area Networks(WLAN) Hot-Spots are emerging. In this rapidly evolving environment, theconfiguration of WLAN access points raise the classical problem of re-usinglimited radio resources. In this paper, the problem of dynamic frequency allocationof WLAN access point in a highly competitive multi-provider Hot-Spotsenvironment is addressed. Our solution aims at working in locations whereplanned and ad-hoc deployments might be side by side. An on-line adaptive optimizationprocess is proposed and relies on available information deliveredonly by the local access points in order to maintain the quality of service ashigh as possible. This optimization process is implemented on a scalable andhighly flexible agent-based framework. The easy deployment of intelligentagents in a real WLAN network and their integration in a simulation context allowsus to perform extensive tests for small and large-scale networks. The proposedapproach has been tested on a limited but practical demonstrator thatshowed encouraging results.Keywords: WLAN Network, Frequency Optimization, Software Agent.1 IntroductionThe evolution of telecommunications is characterivzed by an increase in bandwidthavailability and an increase in user mobility.Mobile networks are evolving to support flexible access services and offer increasinglyhigher bandwidths as well as attractive pricing. For example, several mobileoperators are about to offer new complementary services named here “Hot-Spot”access [1–3]. Hot-Spot solutions provide broadband mobile public access to the Internetand to corporate intranets. The coverage of a WLAN Hot-Spot is typically poorcompared to a 2G and 3G mobile cellular solution but this limitation can be seen as anadvantage to provide end-users with high bandwidth capacity. Current Wireless LocalArea Network (WLAN) technologies deliver services access around 100 meters. Severalmobile operators currently present WLAN Hot-Spot access as a complement totheir GPRS and future UMTS offerings. User applications will have to be able toroam from one local Hot-Spot to another. For example: a user can access to her company’sEmail from the hotel lobby and access it again at the airport gate.Despite many shortcomings with respect to security and inter-network or interoperatorroaming, WLAN IEEE802.11b products are increasingly becoming veryS. Pierre, M. Barbeau, and E. Kranakis (Eds.): ADHOC-NOW 2003, LNCS 2865, pp. 116–127, 2003.© Springer-Verlag Berlin Heidelberg 2003
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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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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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