An efficient hierarchical scheme for locating highly mobile users
Proceedings of the seventh international conference on Information and knowledge management
Transmission of continuous query results in mobile computing systems
Information Sciences—Applications: An International Journal
The GSM System for Mobile Communications
The GSM System for Mobile Communications
Locating Objects in Mobile Computing
IEEE Transactions on Knowledge and Data Engineering
Scheduling Transactions with Temporal Constraints: Exploiting Data Semantics
IEEE Transactions on Knowledge and Data Engineering
Efficient location area planning for cellular networks with hierarchical location databases
Computer Networks: The International Journal of Computer and Telecommunications Networking
A Fault-Tolerant Scheme for Mobility Management in PCS Networks
Wireless Personal Communications: An International Journal
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An important issue in the design of a mobile computing system is how to manage the location information of mobile clients. In the existing commercial cellular mobile computing systems, a two-tier architecture is adopted. However, the two-tier architecture is not scalable. In the literatures, a hierarchical database structure is proposed in which the location information of mobile clients within a cell is managed by the location database responsible for the cell. The location databases of different cells are organized into a tree-like structure to facilitate the search of mobile clients. Although this architecture can distribute the updates and the searching workload amongst the location databases in the system, location update overheads can be very expensive when the mobility of clients is high. In this paper, we study the issues on how to generate location updates under the distance-based method for systems using hierarchical location databases. A cost-based method is proposed for calculating the optimal distance threshold with the objective to minimize the total location management cost. Furthermore, under the existing hierarchical location database scheme, the tree structure of the location databases is static. It cannot adapt to the changes in mobility patterns of mobile clients. This will affect the total location management cost in the system. In the second part of the paper, we present a reorganization strategy to restructure the hierarchical tree of location databases according to the mobility patterns of the clients with the objective to minimize the location management cost. Extensive simulation experiments have been performed to investigate the reorganization strategy when our location update generation method is applied.