Mobile wireless computing: challenges in data management
Communications of the ACM
Optimization of a database hierarchy for mobility tracking in a personal communications network
Performance '93 Proceedings of the 16th IFIP Working Group 7.3 international symposium on Computer performance modeling measurement and evaluation
Local anchor scheme for reducing signaling costs in personal communications networks
IEEE/ACM Transactions on Networking (TON)
An efficient hierarchical scheme for locating highly mobile users
Proceedings of the seventh international conference on Information and knowledge management
A study on channel allocation for data dissemination in mobile computing environments
Mobile Networks and Applications - Special issue: resource management in mobile wireless communication networks
Broadcast protocols to support efficient retrieval from databases by mobile users
ACM Transactions on Database Systems (TODS)
Improving location management for mobile users with frequency visited locations
Performance Evaluation
Agent-based forwarding strategies for reducing location management cost in mobile networks
Mobile Networks and Applications
Analysis and Comparison of Location Strategies for Reducing RegistrationCost in PCS Networks
Wireless Personal Communications: An International Journal
Locating Objects in Mobile Computing
IEEE Transactions on Knowledge and Data Engineering
A forwarding strategy to reduce network impacts of PCS
INFOCOM '95 Proceedings of the Fourteenth Annual Joint Conference of the IEEE Computer and Communication Societies (Vol. 2)-Volume - Volume 2
An alternative strategy for location tracking
IEEE Journal on Selected Areas in Communications
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Recent development of hardware technologies such as communication medium which advances from wired to wireless has led to the emergence of mobile information systems. A major problem in such a mobile information system is how to locate mobile clients. This is named the location management issue. Two major costs are involved in managing a mobile client's location: the movement cost and the locating cost. Past methods can only minimize one of the two costs, but not both. The major contribution of this paper is to present methods that minimize both costs simultaneously. Our performance analysis proves that the proposed methods are superior to the past ones.