Title :
Accuracy of random walk and Markovian mobility models in location prediction methods
Author :
Fülöp, Péter ; Szabó, Sándor ; Szálka, Tamás
Author_Institution :
Budapest Univ. of Technol. & Econ., Budapest
Abstract :
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 the estimation and prediction of users´ distribution in a cellular network. We compare the accuracy of mobility models serving for location prediction with our enhanced user motion prediction algorithm.
Keywords :
Markov processes; cellular radio; mobility management (mobile radio); random processes; Markovian mobility models; cellular network; location prediction methods; network management; random walk models; user motion prediction algorithm; Bandwidth; Degradation; Economic forecasting; Land mobile radio cellular systems; Multiaccess communication; Prediction algorithms; Prediction methods; Predictive models; Wireless networks; Wireless sensor networks;
Conference_Titel :
Software, Telecommunications and Computer Networks, 2007. SoftCOM 2007. 15th International Conference on
Conference_Location :
Split-Dubrovnik
Print_ISBN :
978-953-6114-93-1
Electronic_ISBN :
978-953-6114-95-5
DOI :
10.1109/SOFTCOM.2007.4446069
