Sleepers and workaholics: caching strategies in mobile environments
SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
Energy efficient indexing on air
SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
Broadcast disks: data management for asymmetric communication environments
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
A Hybrid Index Technique for Power Efficient Data Broadcast
Distributed and Parallel Databases
Data Management in Location-Dependent Information Services
IEEE Pervasive Computing
Cache Invalidation and Replacement Strategies for Location-Dependent Data in Mobile Environments
IEEE Transactions on Computers
Data on Air: Organization and Access
IEEE Transactions on Knowledge and Data Engineering
Performance Analysis of Location-Dependent Cache Invalidation Schemes for Mobile Environments
IEEE Transactions on Knowledge and Data Engineering
Energy-Efficient Data Dissemination Schemes for Nearest Neighbor Query Processing
IEEE Transactions on Computers
Location-based caching scheme for mobile clients
WAIM'05 Proceedings of the 6th international conference on Advances in Web-Age Information Management
Short communication: Location-based grid-index for spatial query processing
Expert Systems with Applications: An International Journal
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The results of location-dependent queries(LDQ) generally depend on the current locations of query issuers. Many mechanisms, such as broadcast scheme, prefetching scheme, or caching scheme have been developed to improve system performance and provide better service for location dependent information services(LDISs). However, the client's mobility may lead to inconsistency problems. In this paper, we introduce the broadcast-based LDIS scheme(BBS) in the mobile computing environment. In the BBS, broadcasting data items are sorted sequentially based on their location and the server broadcasts the location dependent data(LDD) without additional indices. Then we present a data prefetching scheme and OBC(Object Boundary Circle) in order to reduce the client's tuning time. The performance for the proposed scheme is investigated by various environmental variables such as distributions of the data items, average speeds of the clients and the size of the service area.