Location prediction algorithms for mobile networks

Le Manh * , & Giang Minh Duc

* Correspondence: Le Manh (email: manhl@vhu.edu.vn)

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Received: 02 Jan 2017
Revised: 28 Feb 2017
Accepted: 28 Feb 2017
Published: 28 Mar 2017
DOI: 10.58810/vhujs.5.1.2017.5134
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How to Cite
Lê, M. ., & Giang, Đức M. (2017). Location prediction algorithms for mobile networks. Van Hien University Journal of Science 5(1), 105-117.
Issue
Volume 5 - Issue 1 (2017)
Section
Công nghệ thông tin

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Abstract

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 applying server in mobile computing environment. Currently, there are some papers that wrote about data mining user's smartphone for mobile systems (GSM). In this paper, methods are proposed to reduce the time to calculate the cellular model, serving mobile internet technology more effectively
Keywords: Location prediction, GSM network, Mobility prediction, Data mining

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References

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