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Towards Adaptive WLAN Frequency Management Using Intelligent Agents 125seconds break occurring at each change of frequency channel. Practically, the endusers do not feel these losses especially if the newer operating systems are used.Fig. 5. Final values when the adaptive process becomes stable (circle number is on VIL)Evolution of the changes of channels by AP14131211Freq(AP1)=13Freq(AP3)=13Channel number10987654AP 1AP 2AP 3AP 4Freq(AP2)=63210Freq(AP4)=100:0000:2300:3300:4300:5201:0701:1601:2901:4002:1102:1202:2002:4203:1203:4204:1204:4205:1205:4306:1306:4307:1307:4308:1308:43Time [mm:ss]Fig. 6. Evolution of the adaptive process over time6 ConclusionsAn approach to address the problem of dynamic frequency allocation for WLANaccess point in a multi-provider Hot-Spots environment has been presented. The operatingfrequency channel at each access point is modified in order to increase thequality of service measured at the access points. This channel (re-)configuration isperformed via SNMP. Several parameters are combined in a metric defined to objectivelymeasure the performance at each access point and compare the results to itsneighbors. In our demonstrator, four parameters obtained from the MIB access points
126 F. Gamba, J.-F. Wagen, and D. Rossierhave been used: the number of frames with errors (FCS), the number of frames deliveredcorrectly (InUPkt), the number of associated stations (NAS) and the frequencychannel.The exchange of information between access points regarding performance measuresand newly assigned channel plays a central role in the solution presented here.Advanced communication mechanisms rely on the Jade agent-platform. Our agentbasedframework is composed of intelligent agents, called AWM_agents, whichclosely interact in order to keep an up-to-date internal representation of their localenvironment and therefore to perform on-line optimization by (re-)configuring thefrequency channel of the access point.The architecture and functionalities of our solution has been explained. Each accesspoint is controlled by an AWM_agent. The AWM_agent queries a SNMP agent inorder to retrieve the information from the access point. In case of interference, theagent activates an optimization algorithm and computes the new channel to be assignedto the access point.Preliminary results have been presented to illustrate the feasibility of our approach.The stability of the optimization process has been tested on the demonstrator and thesimulator. Measurements demonstrated that frequency channels can be modified withlittle perturbation to the users associated to a given access point.Future work will focus on extending the demonstrators to a large number of accesspoints in a campus environment. Further tests and measurements will also be performedon the simulator. Furthermore, improvements of the optimization algorithmwill be investigated.References1. Levillain, P., Wireless LAN for Entreprise. Alcatel Telecommunications Review, Q20022. Juha Ala-Laurila, Jouni Mikkonen, Jyri Rinnemaa, “Wireless LAN Access Network Architecturefor Mobile Operators”, IEEE Commun. Mag,. November 2001, pp 82-89.3. Shidong Zhou, Ming Zhao, Xibin Xu, Jing Wang, Yan Yao, “Distributed Wireless CommunicationSystem: A New Architecture for Futur Public Wireless Access”, ”, IEEECommun. Mag, .March 2003, pp 108-113.4. David Kotz, Kobby Essein, “Analysis of a Campus-wide Wireless Network”,MOBICOM’02, September 23-26, 2002 Atlanta, Georgia, USA5. Heinz Luediger, Sven Zeisberg, “User and Business Perspectives on an Open Mobile AccessStandard”, IEEE Commun. Mag,. September 2000, pp 160-163.6. Alex Hills, “Large-Scale Wireless LAN Design”, IEEE Commun. Mag,. November 2001,pp 98-104.7. IEEE Std 802.11, Part 11: Wireless LAN Medium Access Control (MAC) and PhysicalLayer (PHY) Specifications, including ieee802.11-mib, edition 19998. IEEE Std 802.11b, Part 11: Wireless LAN Medium Access Control (MAC) and PhysicalLayer (PHY) specifications: Higher-Speed Physical Layer Extension in the 2.4 GHz Band,ISBN 0-7381-1812-5.9. Chien-Chung Shen, Chavalit Srisathapornphat, and Chaiporn Jaikaeo, "An Adaptive ManagementArchitecture for Ad Hoc Networks", IEEE Commun. Mag, February 200310. Nicholas R. Jennings, “An Agent-based Approach for Building Complex Software Systems”,Communications of the ACM, Vol.44, No.4 (April 2001).11. Walter Brenner, Rüdiger Zarnekow, Hartmut Wittig, "Intelligent Software Agents", Springer-Verlag(Berlin Heidelberg, 1998).
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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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10 H. Dubois-Ferrière, M. Grossgla
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SAFAR: An Adaptive Bandwidth-Effici
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42 L. Qin and T. KunzP = Prdlog( )
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50 M. Diha and S. Pierrethe propose
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56 M. Diha and S. PierreCmip/Cprop0
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Proactive QoS Routing in Ad Hoc Net
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Delivering Messagesin Disconnected
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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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