Predictive Models for Seamless Mobility
Blekinge Institute of Technology, School of Computing2010 (English)Conference paper (Refereed) Published
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.
Location prediction, Discrete Markov models
IdentifiersURN: urn:nbn:se:bth-7314Local ID: oai:bth.se:forskinfo0E8FDD2B5ADB1EB0C12579B900525FCFISBN: 978-83-926054-4-7OAI: oai:DiVA.org:bth-7314DiVA: diva2:834918
Sixth International Working Conference on Performance Modeling and Evaluation of Heterogeneous Networks, HET-NETs