An Approach to Mobility Prediction in Mobile Environments

Mobility prediction is one of the mostcritical research areas in wireless network. At thenetwork level, accurate node mobility prediction maybe critical to tasks such as call admission control,reservation of network resources, pre-configurationof services and QoS provisioning. At the applicationlevel, user mobility prediction in combination withuser’s profile may provide the user with enhancedlocation-based wireless services such as routeguidance, local traffic information and on-lineadvertising. In this paper, an approach for predictingthe next inter-cell movement of a mobile user inwireless network is presented. The future location ofa mobile user is predicted based on the user’smovement history. User mobility patterns are minedfrom the history of mobile user trajectories. And thenmobility rules are extracted from these patterns.Finally, mobility predictions are accomplished byusing these rules