PODS '99 Proceedings of the eighteenth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Using semantic caching to manage location dependent data in mobile computing
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Mobile Computing and Databases-A Survey
IEEE Transactions on Knowledge and Data Engineering
Semantic Data Caching and Replacement
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Semantic Caching in Location-Dependent Query Processing
SSTD '01 Proceedings of the 7th International Symposium on Advances in Spatial and Temporal 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
Processing Distributed Mobile Queries with Interleaved Remote Mobile Joins
IEEE Transactions on Computers
Location dependent query in a mobile environment
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Introduction to multimedia and mobile agents
Prefetching LDD: a benefit-oriented approach
Proceedings of the 2006 international conference on Wireless communications and mobile computing
Data retrieval for location-dependent queries in a multi-cell wireless environment
Mobile Information Systems
Applying the effective distance to location-dependent data
OTM'06 Proceedings of the 2006 international conference on On the Move to Meaningful Internet Systems: AWeSOMe, CAMS, COMINF, IS, KSinBIT, MIOS-CIAO, MONET - Volume Part II
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We develop several methods for scheduling location-dependent queries clients cross cell bounderies in a multi-cell wireless environment. Our study is based on a common scenario where data objects are stationary while clients, which issue the queries, are mobile. For query processing, we use Voronoi Diagrams to construct an index and a semantic cache for improving data reusability. For handoff clients, we propose three scheduling methods, namely, the priority method, the intelligent method, and the hybrid method to improve performance. A simulation is conducted to study the performance of the methods.