Location Management Using Genetic Algorithm Tuned Neural Network in Mobile Networks
In this paper, the authors present a User Pattern Learning (UPL) strategy using Genetic Algorithm tuned Artificial Neural Network (GAANN) to reduce the location update cost. The system maintains a list of places where each user is most likely to be in at each time interval. The intelligence of the location management procedure is increased by updating the profile of each user by users past calling history. Unless the MT detects that it has moved out of the registered profile, it does not perform any other location update. Paging is also done selectively as in the registered profile upon a call arrival for the MT. Experimental results shows that the profile based intelligent system using GAANN performs well than other well known strategies.