A Method for Mobility Management in Cellular Networks Using Data Mining

Giang Duc; Le Manh; Do Tuan

Context-Aware Systems and Applications. 5th International Conference, ICCASA 2016, Thu Dau Mot, Vietnam, November 24-25, 2016, Proceedings

Research Article

A Method for Mobility Management in Cellular Networks Using Data Mining

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@INPROCEEDINGS{10.1007/978-3-319-56357-2_20,
    author={Giang Duc and Le Manh and Do Tuan},
    title={A Method for Mobility Management in Cellular Networks Using Data Mining},
    proceedings={Context-Aware Systems and Applications. 5th International Conference, ICCASA 2016, Thu Dau Mot, Vietnam, November 24-25, 2016, Proceedings},
    proceedings_a={ICCASA},
    year={2017},
    month={6},
    keywords={Data mining Mobility rules Mobility prediction Cellular networks},
    doi={10.1007/978-3-319-56357-2_20}
}

Giang Duc
Le Manh
Do Tuan
Year: 2017
A Method for Mobility Management in Cellular Networks Using Data Mining
ICCASA
Springer
DOI: 10.1007/978-3-319-56357-2_20

Giang Duc¹^,*, Le Manh²^,*, Do Tuan¹^,*

1: HCM City University of Technology
2: Van Hien University

*Contact email: ducgm.bdg@vnpt.vn, manhle@uit.edu.vn, do-hong@hcmut.edu.vn

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.

Keywords: Data mining Mobility rules Mobility prediction Cellular networks

Published: 2017-06-05
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-319-56357-2_20