Clustering techniques for dynamic location management in mobile computing

Authors:
Javid Taheri;Albert Y. Zomaya
Affiliations:
School of Information Technology, The University of Sydney, Sydney, NSW 2006, Australia;School of Information Technology, The University of Sydney, Sydney, NSW 2006, Australia
Venue:
Journal of Parallel and Distributed Computing
Year:
2007

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Abstract

This paper presents a novel approach based on clustering algorithms in combination with the location area (LA) scheme to solve the mobility management problem. Users' movement history is used by the network to predict future paging decisions. This approach integrates the LAs scheme and efficient clustering algorithms to find a network topology which can lead to massive savings in the number of signals made to locate users in the network. The approach is tested with several networks to show its advantages to the current GSM standards. The results provide new insights into the mobility management problem.