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.
