Dynamic Location area planning in cellular network using Apriori algorithm

Every human being has predefined movement in their regular social life. This predefined movement of user is very much useful in cellular network. Using supervise learning methods we can able to find out mobility patterns of mobile users in cellular network, which is useful to divide mobile users in various categories. Based on these categories we can develop algorithms which can help cellular network for reducing location management cost (Location Update cost + Paging Cost). In this paper, Apriori algorithm is used for creating dynamic location area for mobile users using mobility log of mobile users. The performance of the method has been verified for dynamic location area creation by considering different mobility logs of mobile users by taking different minimum support in Apriori algorithm. The simulation has achieved an average of 80% minimum support can be used to create dynamic location area for mobile users and 60%, 40% and 20% minimum support work as an adaptive search for mobile users.