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2007 6th International Conference on Computer Information Systems and Industrial Management Applications
Location Prediction Methods with Markovian Approach and Extended Random Walk Model
Elk, Poland
June 28-June 30
ISBN: 0-7695-2894-5
ASCII Text
x 
 
Peter Fulop, Sandor Szabo, Tamas Szalka, "Location Prediction Methods with Markovian Approach and Extended Random Walk Model," Computer Information Systems and Industrial Management Applications, International Conference on, pp. 53-58, 2007 6th International Conference on Computer Information Systems and Industrial Management Applications, 2007.
 
 
BibTex
x
 
@article{ 10.1109/CISIM.2007.45,
author = {Peter Fulop and Sandor Szabo and Tamas Szalka},
title = {Location Prediction Methods with Markovian Approach and Extended Random Walk Model},
journal ={Computer Information Systems and Industrial Management Applications, International Conference on},
volume = {0},
year = {2007},
isbn = {0-7695-2894-5},
pages = {53-58},
doi = {http://doi.ieeecomputersociety.org/10.1109/CISIM.2007.45},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer Information Systems and Industrial Management Applications, International Conference on
TI - Location Prediction Methods with Markovian Approach and Extended Random Walk Model
SN - 0-7695-2894-5
SP53
EP58
A1 - Peter Fulop,
A1 - Sandor Szabo,
A1 - Tamas Szalka,
PY - 2007
KW - null
VL - 0
JA - Computer Information Systems and Industrial Management Applications, International Conference on
ER -
 
Peter Fulop, Budapest University of Technology and Economics, Hungary
Sandor Szabo, Budapest University of Technology and Economics, Hungary
Tamas Szalka, Budapest University of Technology and Economics, Hungary
Recent wireless networks offer more bandwidth than ever. High quality services are developed and provided by the operators, the number of users is constantly increasing. As the transferred data and the number of terminals are growing, the network providers have to face the increasing complexity of the network management and operation tasks.

In this paper we observe one of the main problems that arise in a wireless network, the tracking of the users? mobility. We compare in detail the accuracy versus the complexity of mobility models serving for location prediction.

Citation:
Peter Fulop, Sandor Szabo, Tamas Szalka, "Location Prediction Methods with Markovian Approach and Extended Random Walk Model," cisim, pp.53-58, 2007 6th International Conference on Computer Information Systems and Industrial Management Applications, 2007
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