A Mobility Prediction Architecture Based on Contextual Knowledge and Spatial Conceptual Maps
IEEE Transactions on Mobile Computing
On the Effectiveness of Movement Prediction to Reduce Energy Consumption in Wireless Communication
IEEE Transactions on Mobile Computing
Knowledge-based mobility management for personal agents in the all-mobile network
Multiagent and Grid Systems - Innovations in intelligent agent technology
An efficient neighborhood prediction protocol to estimate link availability in VANETs
Proceedings of the 7th ACM international symposium on Mobility management and wireless access
Dynamically adaptive channel reservation scheme for cellular networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
A location-aware user tracking and prediction system
GIIS'09 Proceedings of the Second international conference on Global Information Infrastructure Symposium
Dividing sensitive ranges based mobility prediction algorithm in wireless networks
Proceedings of the 6th International Wireless Communications and Mobile Computing Conference
Optimization models for application migration to support mobile thin clients
Proceedings of the Third international EURO-NGI network of excellence conference on Wireless systems and mobility in next generation internet
Grid design for mobile thin client computing
Future Generation Computer Systems
Two-Stage user mobility modeling for intention prediction for location-based services
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
Analysing the mobility, predictability and evolution of WLAN users
International Journal of Autonomous and Adaptive Communications Systems
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A number of user mobility prediction algorithms have been reported in the literature. These may be used for resource reservation and service pre-configuration/ adaptation in future wireless networks to provide QoS guarantees. However, our analysis of some of these techniques using measured cellular performance shows that these models do not accurately represent the mobility patterns of users. As a result, resource reservation schemes need to reserve excessive resources, and the pre-configuration/ adaptation does not work well. To over come this, we propose an adaptive user mobility prediction algorithm that limits the reservation and configuration procedure to a subset of cells around the user. The viability and effectiveness of the proposed scheme is then demonstrated through a simulation based on measured data.