A method for mobility management in cellular networks using data mining

Abstract

The Mobility prediction is one of the important issues in mobile computing systems. The moving logs of mobile users in mobile computing environment are stored in the Home Location Registry (HLR). The generated moving logs are used for mining mobility patterns. The discovered location patterns can be used to provide various location based services to the mobile user by the application server in mobile computing environment. Currently, some papers have written about mobility data mining methods of mobile users in cellular communications networks. In this paper, we propose a method which decrease time to compute the mobility patterns.