Location Management in 4G Wireless Heterogeneous Networks using Mobile Data Mining Techniques

The design of the location management technique aims to reduce the signaling overhead in the mobile networks and to deliver the calls correctly. None of the current location management techniques have been designed for the new structure of 4G wireless heterogeneous networks (WHN). In this paper, we propose and evaluate a new location management technique (LM-WHN) for 4G WHN using data mining technology. Multidimensional sequence mining techniques are used in this to extract the mobility patterns of the mobile users. The new location management technique uses these patterns to predict the location of the mobile users inside the 4G WHN. This helps to reduce the communication overhead that is required to determine the location of the mobile users. Data mining tasks in the proposed technique are distributed between the mobile handsets (MHs) in the 4G WHN. Simulation was conducted to evaluate the performance of the posed location management technique and to compare its performance with other techniques. Simulation results show that we can predict the user locations with high accuracy using the proposed technique. Also simulation results show that the delay in the proposed technique is slightly higher than the delay in the non predictive location management technique