Learning movement patterns in mobile networks: a generic method
Jean-Marc François, Guy Leduc, Sylvain Martin · 2004
Abstract: Predicting terminals movements in mobile networks is useful for more than one reason, in particular for routing management. A way to do such prediction is to learn the movement patterns of mobile nodes passing by an access router. In this paper, the information (e.g. layer 2 measurements) related to the different paths followed by mobiles are learned using a hidden Markov model. Simulations have been done using this method and show it can handle different layer 2 signals and collect statistical information when no such signal is available. 1.