The active badge location system
ACM Transactions on Information Systems (TOIS)
A dynamic paging scheme for wireless communication systems
MobiCom '97 Proceedings of the 3rd annual ACM/IEEE international conference on Mobile computing and networking
Location management in cellular networks
Handbook of wireless networks and mobile computing
Optimal sequential paging in cellular wireless networks
Wireless Networks
A data mining approach for location prediction in mobile environments
Data & Knowledge Engineering
Agent-Based Data Compression Supporting Knowledge Discovery in Mobile Environment
KES-AMSTA '07 Proceedings of the 1st KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
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Determining mobility patterns and predicting the future mobile location are some issues in optimizing the location management of location based services. These patterns are also useful for finding trends, allocating resources and other information with the mobile user. In our paper, a location management on location based services using collaborative agents is presented. In this study, we propose an agent which learns from the pattern of the user mobility and predict the future location of mobile object to optimize the search method of the location management. We use the association rule mining and basing on these rules, the agent predicts the future mobile location. Also, these agents coordinate to each other by telling the knowledge of the possible location of the mobile object on the distributed location-based services. The result using the technique optimizes the search method of the location management.