Location management cost reduction using fuzzy logic in cellular radio network

In cellular network, mobility management has allowed mobile subscribers to move freely across different networks while maintaining its quality of service for a variety of applications. Location management is one of the main tasks of mobility management. The location management cost depends mainly on subscribers' mobility behavior and its performance which is typically measured by the number of location update performed and the number of cells paged. The objective of this research is to propose, validate and evaluate the performance of location update scheme using fuzzy logic technique for cellular radio system. Three metrics: speed, user density and residence time are proposed and used for fuzzy evaluation. The results of using fuzzy logic technique show that location management cost reduction using Fuzzy logic in cellular radio network using fuzzy logic is decreased about 2% and outperforms the conventional mechanism.

[1]  Amotz Bar-Noy,et al.  Mobile users: To update or not to update? , 1994, Proceedings of INFOCOM '94 Conference on Computer Communications.

[2]  Maria Castillo,et al.  Mobility Management in Cellular Communication Systems Using Fuzzy Systems , 2004, PWC.

[3]  George L. Lyberopoulos,et al.  Mobility modeling in third-generation mobile telecommunications systems , 1997, IEEE Wirel. Commun..

[4]  Victor C. M. Leung,et al.  A Fuzzy Distance-Based Location Management Scheme for PCS Networks , 2006, 2006 IEEE 63rd Vehicular Technology Conference.

[5]  Seizo Onoe,et al.  A new location updating method for digital cellular systems , 1991, [1991 Proceedings] 41st IEEE Vehicular Technology Conference.

[6]  D. Pesch,et al.  Multi-metric routing decisions for ad hoc networks using fuzzy logic , 2004, 1st International Symposium onWireless Communication Systems, 2004..

[7]  C. Rose,et al.  Minimizing the average cost of paging and registration: A timer-based method , 1996, Wirel. Networks.

[8]  Jin-Long Wang,et al.  Fuzzy Logic Based Mobility Management for 4G Heterogeneous Networks , 2006, KES.

[9]  Kalyan Basu,et al.  Adaptive paging algorithms for cellular systems , 1995, 1995 IEEE 45th Vehicular Technology Conference. Countdown to the Wireless Twenty-First Century.

[10]  J.Y. Lee,et al.  Adaptive time-based location update scheme using fuzzy logic , 1999, 1999 Digest of Technical Papers. International Conference on Consumer Electronics (Cat. No.99CH36277).

[11]  S. Tabbane,et al.  Location management methods for third-generation mobile systems , 1997, IEEE Commun. Mag..

[12]  Ian F. Akyildiz,et al.  Mobility Management in Next Generation Wireless Systems , 1999, ICCCN.

[13]  Kenneth Steiglitz,et al.  Optimization of wireless resources for personal communications mobility tracking , 1995, TNET.

[14]  Jesús E. Villadangos,et al.  Fuzzy Mobility Management in Cellular Communication Systems , 2004, ECUMN.

[15]  David J. Goodman,et al.  Mobility models and biased sampling problem , 1993, Proceedings of 2nd IEEE International Conference on Universal Personal Communications.

[16]  Ihn-Han Bae,et al.  An Adaptive Location Service on the Basis of Fuzzy Logic for MANETs , 2007, IFSA.

[17]  S. Subramanian,et al.  System partitioning in a cellular network , 1996, Proceedings of Vehicular Technology Conference - VTC.

[18]  Yi-Bing Lin.  Reducing location update cost in a PCS network , 1996, Proceedings of PIMRC '96 - 7th International Symposium on Personal, Indoor, and Mobile Communications.

[19]  Ivan Seskar,et al.  Rate of location area updates in cellular systems , 1992, [1992 Proceedings] Vehicular Technology Society 42nd VTS Conference - Frontiers of Technology.

[20]  Ian F. Akyildiz,et al.  Mobile user location update and paging under delay constraints , 1995, Wirel. Networks.