Cataloged from PDF version of article.Mobility prediction is one of the most essential issues that need to be explored for
mobility management in mobile computing systems. In this thesis, we propose a new
algorithm for predicting the next inter-cell movement of a mobile user in a Personal
Communication Systems network. In the first phase of our three-phase algorithm, user
mobility patterns are mined from the history of mobile user trajectories. In the second
phase, mobility rules are extracted from these patterns, and in the last phase, mobility
predictions are accomplished by using these rules.
The performance of the proposed algorithm is evaluated through simulation as
compared to two other prediction methods. The performance results obtained in terms of
Precision and Recall indicate that our method can make more accurate predictions than
the other methods.Yavaş, GökhanM.S
