IEEE/ACM Transactions on Networking (TON)
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
Dynamic hierarchical database architecture for location management in PCS networks
IEEE/ACM Transactions on Networking (TON)
Broadcast protocols to support efficient retrieval from databases by mobile users
ACM Transactions on Database Systems (TODS)
Indexing the positions of continuously moving objects
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Querying in Highly Mobile Distributed Environments
VLDB '92 Proceedings of the 18th International Conference on Very Large Data Bases
Analyzing Mobile Transaction Supports for DBMS
DEXA '01 Proceedings of the 12th International Workshop on Database and Expert Systems Applications
Recovery of Mobile Transactions
DEXA '00 Proceedings of the 11th International Workshop on Database and Expert Systems Applications
Moflex Transaction Model for Mobile Heterogeneous Multidatabase Systems
RIDE '00 Proceedings of the 10th International Workshop on Research Issues in Data Engineering
Modeling the Static and Dynamic Guard Channel Schemes for Mobile Transactions
ICPADS '98 Proceedings of the 1998 International Conference on Parallel and Distributed Systems
A Transaction Model for Mobile Computing
IDEAS '98 Proceedings of the 1998 International Symposium on Database Engineering & Applications
GSM phase 2+ general packet radio service GPRS: Architecture, protocols, and air interface
IEEE Communications Surveys & Tutorials
Location management methods for third generation mobile systems
IEEE Communications Magazine
A profile-based location strategy and its performance
IEEE Journal on Selected Areas in Communications
Predictive schemes for handoff prioritization in cellular networks based on mobile positioning
IEEE Journal on Selected Areas in Communications
An alternative strategy for location tracking
IEEE Journal on Selected Areas in Communications
Trajectories Mining for Traffic Condition Renewing
ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
A regression-based approach for mining user movement patterns from random sample data
Data & Knowledge Engineering
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The importance of location prediction is rapidly increasing with the current trend of database applications in mobile computing environment. However, current personal communication services network could only provide currently maintained location information of non-idle mobile terminals. Pertinent researches predict the future location based on tangent velocity approaches, which require mobile terminals to spend lots of precious electronic power to sense and then measure a sequence of positions for predicting the future tangent velocity, and the prediction is effective only within a short range of time. In this study, we propose an approach to predict future locations of mobile terminals based on the moving behaviors mined from their long-term moving history. Location prediction based on moving behavior requires no power consumption for position measurement, and the prediction results are effective for a long time without requiring the queried clients to be non-idle. With the help of moving behavior, we propose several location prediction operators for location query. Finally, we demonstrate the accuracy of the location query operators through simulation statistics. The experimental results show that the predictions are accurate enough for regular moving mobile terminals.