An Approach to Mobility Prediction in Mobile Environments

Abstract

Mobility prediction is one of the most critical research areas in wireless network. At the network level, accurate node mobility prediction may be critical to tasks such as call admission control, reservation of network resources, pre-configuration of services and QoS provisioning. At the application level, user mobility prediction in combination with user’s profile may provide the user with enhanced location-based wireless services such as route guidance, local traffic information and on-line advertising. In this paper, an approach for predicting the next inter-cell movement of a mobile user in wireless network is presented. The future location of a mobile user is predicted based on the user’s movement history. User mobility patterns are mined from the history of mobile user trajectories. And then mobility rules are extracted from these patterns. Finally, mobility predictions are accomplished by using these rules.