Accurate mobility modeling and location prediction based on pattern analysis of handover series in mobile networks

Fülöp, Péter; Lendvai, Karoly; Szálka, Tamás; Imre, Sándor; Szabó, Sándor

doi:10.1145/1497185.1497232

Cited by 2 publications

(5 citation statements)

References 4 publications

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“…A widely used modified Random Walk estimation, M3 [14] and M7 [13] models were used in the simulation as references. The examined area contains the cells in the circle (cell 1-7, cell 16-18) Fig.…”

Section: Numerical Resultsmentioning

confidence: 99%

“…The application of the recent user locations has a capital importance in variable, directional user motion. Neglecting the preceding transition series of a user in the MAP results that the estimation works with a significantly higher error rate [13].…”

Section: Order Of the Modelmentioning

confidence: 99%

“…In our previous work we already published an algorithm for resolution determination. Because of the limitations of this paper the details can be seen in [13].…”

Section: Determining Resolutionmentioning

confidence: 99%

“…The discussion of individual or group mobility modeling problems is a hot topic these days [4,7,8,10,[14][15][16]. Beside other approaches a few propositions are using Markov model as a sophisticated mathematical solution [8,10,13,14]. In this paper our aim is to give general design guidelines to create a Markov movement mobility model with optimal number of states and proper accuracy according to the network and user movement parameters.…”

Section: Introductionmentioning

confidence: 99%

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General mobility modeling and location prediction based on markovian approach constructor framework

Szálka¹,

Fülöp²,

Imre³

2011

Per. Pol. Elec. Eng.

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Nowadays, in the wireless networks the number of users and the transferred packet switched data are increasing dramatically. Due to the demands and the market competition the services are becoming more complex, therefore network providers and operators are facing even more difficult network management and operation tasks. The efficient network dimensioning and configuration highly depend on the underlying mathematical model of user distribution and expected data transfer level. In this paper we propose a Markov Movement-model Creator Framework (MMCF) for setting up a model based on the network parameters and requirements with optimal number of states. Firstly we describe a method that gives an abstract model of the mobile network and the node, and we introduce a simple classifying method that defines the necessary parameters of the exact Markov movement model. The mathematical solutions for determining these parameters are also presented in the paper. Finally we analyze the accuracy, complexity and usability of the proposed MMCF and an analytical comparison is made with other mobility models, the comparison is justified with simulations. The movement model created with the framework helps the network operators in setting up an effective authorization, fraud detection system or solving self-configurations issues.

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Section: Numerical Resultsmentioning

confidence: 99%

Section: Order Of the Modelmentioning

confidence: 99%

“…In our previous work we already published an algorithm for resolution determination. Because of the limitations of this paper the details can be seen in [13].…”

Section: Determining Resolutionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

General mobility modeling and location prediction based on markovian approach constructor framework

Szálka¹,

Fülöp²,

Imre³

2011

Per. Pol. Elec. Eng.

Self Cite

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show abstract

“…Mobile databases [31] have benefited through the rapid advancement of global positioning systems (GPS) [3] and geographic information system (GIS) [35,18], as well as the mobile device itself [12]. As a result, there has been a growing demand for mobile location-based service applications [13,9,4] and ubiquitous applications [34].…”

Section: Introductionmentioning

confidence: 99%

Voronoi-based range and continuous range query processing in mobile databases

Xuan

Zhao

Taniar

et al. 2011

Journal of Computer and System Sciences

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With the wide availability of mobile devices (smart phones, iPhones, etc.), mobile locationbased queries are increasingly in demand. One of the most frequent queries is range search which returns objects of interest within a pre-defined area. Most of the existing methods are based on the road network expansion method -expanding all nodes (intersections and objects) and computing the distance of each node to the query point. Since road networks are extremely complex, node expansion approaches are inefficient. In this paper, we propose a method, Voronoi Range Search (VRS) based on the Voronoi diagram, to process range search queries efficiently and accurately by partitioning the road networks to some special polygons. Then we further propose Voronoi Continuous Range (VCR) to satisfy the requirement for continuous range search queries (moving queries) based on VRS. Our empirical experiments show that VRS and VCR surpass all their rivals for both static and moving queries.

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Accurate mobility modeling and location prediction based on pattern analysis of handover series in mobile networks

Cited by 2 publications

References 4 publications

General mobility modeling and location prediction based on markovian approach constructor framework

General mobility modeling and location prediction based on markovian approach constructor framework

Voronoi-based range and continuous range query processing in mobile databases

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