Mobile Information Systems

Mobile Information Systems / 2009 / Article

Open Access

Volume 5 |Article ID 972491 | https://doi.org/10.1155/2009/972491

Péter Fülöp, Sándor Imre, Sándor Szabó, Tamás Szálka, "Accurate Mobility Modeling and Location Prediction Based on Pattern Analysis of Handover Series in Mobile Networks", Mobile Information Systems, vol. 5, Article ID 972491, 35 pages, 2009. https://doi.org/10.1155/2009/972491

Accurate Mobility Modeling and Location Prediction Based on Pattern Analysis of Handover Series in Mobile Networks

Received16 Oct 2009
Accepted16 Oct 2009

Abstract

The efficient dimensioning of cellular wireless access networks depends highly on the accuracy of the underlying mathematical models of user distribution and traffic estimations. Mobility prediction also considered as an effective method contributing to the accuracy of IP multicast based multimedia transmissions, and ad hoc routing algorithms. In this paper we focus on the tradeoff between the accuracy and the complexity of the mathematical models used to describe user movements in the network. We propose mobility model extension, in order to utilize user's movement history thus providing more accurate results than other widely used models in the literature. The new models are applicable in real-life scenarios, because these rely on additional information effectively available in cellular networks (e.g. handover history), too. The complexity of the proposed models is analyzed, and the accuracy is justified by means of simulation.

Copyright © 2009 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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