Abstract
There is growing need to provide location mechanisms to determine the movement of a mobile user in order to grant quality of service (QoS) in cellular communication systems. Predicting in advance the movement of a mobile user, the system can tune the operation point: blocking and interruption probabilities in circuit switched networks, and flow weights in packet commutation networks. The use of fuzzy symbols allows to better manage imprecise (fuzzy) location information due to attenuation and multi-path propagation. A fuzzy automaton deals with the strings of fuzzy symbols that represent the mobile user movement across the geography of the cellular system, and grants a high recognition rate of the path followed by the mobile terminal. This fuzzy automaton can select the blocking and interrupting probabilities and then ensure QoS for different scenarios of the cellular system.
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Astrain, J.J., Garitagoitia, J.R., Villadangos, J., Fariña, F., Córdoba, A., González de Mendívil, J.R.: An Imperfect String matching Experience Using Deformed Fuzzy Automata. In: Frontiers in Artificial Intelligence and Applications, Soft Computing Systems, September 2002, vol. 87, pp. 115–123. IOS Press, The Nederlands (2002)
Bettsetter, C.: Mobility modeling in wireless networks: categorization, smooth movement, and border effects. ACM Mobile Computing and Communications Review 5(3), 55–67 (2001)
Garitagoitia, J.R., González de Mendívil, J.R., Echanobe, J., Astrain, J.J., Fariña, F.: Deformed Fuzzy Automata for Correcting Imperfect Strings of Fuzzy Symbols. IEEE Transactions on Fuzzy Systems 11(3), 299–310 (2003)
Hadjefthymiades, S., Merakos, L.: ESW4: Enhanced Scheme for WWW computing in Wireless communication environments. ACM SIGCOMM Computer Communication Review 29(4) (1999)
Hadjefthymiades, S., Papayiannis, S., Merakos, L.: Using path prediction to improve TCP performace in wireless/mobile communications. IEEE Communications Magazine 40(8), 54–61 (2002)
Levenshtein, V.I.: Binary codes capable of correcting deletions, insertions, and reversals. Sov. Phys. Dokl. 10(8), 707–710 (1966)
Liu, G., Maguire Jr., G.Q.: A Predictive Mobility Management Scheme for Supporting Wireless Mobile Computing. Technical Report, ITR 95-04, Royal Institute of Technology, Sweden (January 1995)
Liu, T., Bahl, P., Chlamtac, I.: Mobility Modeling, Location Tracking, and Trajectory Prediction in Wireless Networks. IEEE JSAC 16(6), 922–936 (1998)
Oliver i Riera, M.: Mecanismos de gestion de recursos basados en criterios de calidad de servicio para una red de comunicaciones moviles de tercera generacion. Doctoral thesis, Universitat Politecnica de Catalunya, Barcelona (Spain) (December 1998)
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Astrain, J.J., Villadangos, J. (2004). Fuzzy Mobility Management in Cellular Communication Systems. In: Freire, M.M., Chemouil, P., Lorenz, P., Gravey, A. (eds) Universal Multiservice Networks. ECUMN 2004. Lecture Notes in Computer Science, vol 3262. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30197-4_15
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DOI: https://doi.org/10.1007/978-3-540-30197-4_15
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