Mobility prediction and location management based on data mining

Abstract

This paper presents a mobility prediction and location management technique based on one of the most used Data mining technique which is The association rules. Our solution can be implemented on a third-generation mobile network by exploiting the data available on existing infrastructure (roads, locations of base stations, ... etc.) and the users' displacements history. Simulations carried out using a realistic model of movements showed that our strategy can accurately predict up to 90% of the users' movements by knowing only their last two movements.