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Predictive Models for Seamless Mobility
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2010 (English)Conference paper (Refereed) Published
Abstract [en]

User’s location modeling and prediction is complex and a challenge for seamless mobility in heterogeneous networks. Markov models and information-theoretic techniques are appropriate to perform location prediction. The paper characterizes user’s location as a discrete sequence. We survey and describe Markovian methods and information-theoretic techniques for location prediction.

Place, publisher, year, edition, pages
Zakopane: IITiS , 2010.
Keyword [en]
Location prediction, Discrete Markov models
National Category
Computer Science
URN: urn:nbn:se:bth-7314Local ID: 978-83-926054-4-7OAI: diva2:834918
Sixth International Working Conference on Performance Modeling and Evaluation of Heterogeneous Networks, HET-NETs
Available from: 2012-09-18 Created: 2012-03-06 Last updated: 2015-06-30Bibliographically approved

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Popescu, Adrian
Computer Science

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