Accuracy of random walk and Markovian mobility models in location prediction methods

Author(s):  
Peter Fulop ◽  
Sandor Szabo ◽  
Tamas Szalka
Author(s):  
aml Ismaiel ◽  
Walaa Gad ◽  
Tamer Mostafa ◽  
Nagwa Badr

1990 ◽  
Vol 23 (6) ◽  
pp. 617-621 ◽  
Author(s):  
Alexander L. Bell ◽  
Douglas R. Pedersen ◽  
Richard A. Brand

2013 ◽  
Vol 9 (12) ◽  
pp. 691042 ◽  
Author(s):  
Zhaoyan Jin ◽  
Dianxi Shi ◽  
Quanyuan Wu ◽  
Huining Yan

Author(s):  
J. Venkata Subramanian ◽  
S. Govindarajan

<p>For a decade and more, the Number of smart phone users count increasing day by day. With the drastic improvements in Communication technologies, the prediction of future movements of mobile users needs also have important role. Various sectors can gain from this prediction. Communication management, City Development planning, and locationbased services are some of the fields that can be made more valuable with movement prediction. In this paper, we propose a study of several Location Prediction Techniques in the following areas</p>


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