Summary of Results
- Dynamic location management algorithm developed
- Individualized location areas created during location updates
- Cell transitions and average stay durations maintained in user profile
- Algorithm significantly outperforms current static algorithms
- Superior performance for nearly all user types and DLA sizes
- Activity-based mobility model developed for testing location management algorithms
- Stochastic model, based on activity patterns derived from trip surveys
- More realistic mobility simulation than random models
- Future work
- Aging of user profile data
- Comparison with other proposed location management algorithms, using different mobility models
- Alternative strategies for dynamic location area selection
- Apply mobility model to evaluation of handover algorithms