Linear clustering of objects with multiple attributes
SIGMOD '90 Proceedings of the 1990 ACM SIGMOD international conference on Management of data
Sleepers and workaholics: caching strategies in mobile environments
SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
Multidimensional access methods
ACM Computing Surveys (CSUR)
Broadcast protocols to support efficient retrieval from databases by mobile users
ACM Transactions on Database Systems (TODS)
Client-server computing in mobile environments
ACM Computing Surveys (CSUR)
On adaptive caching in mobile databases
SAC '97 Proceedings of the 1997 ACM symposium on Applied computing
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
Location dependent query processing
Proceedings of the 2nd ACM international workshop on Data engineering for wireless and mobile access
Data Management for Mobile Computing
Data Management for Mobile Computing
Data on Air: Organization and Access
IEEE Transactions on Knowledge and Data Engineering
Mobile Computing and Databases-A Survey
IEEE Transactions on Knowledge and Data Engineering
Location-dependent queries evaluation in mobile networks
UbiMob '04 Proceedings of the 1st French-speaking conference on Mobility and ubiquity computing
International Journal of Ad Hoc and Ubiquitous Computing
Location-dependent query processing: Where we are and where we are heading
ACM Computing Surveys (CSUR)
Proceedings of the 7th International Conference on Advances in Mobile Computing and Multimedia
A Spatio-Temporal Cache Replacement Policy for Location Dependent Data in Mobile Environments
International Journal of Business Data Communications and Networking
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The results of location-dependent queries (LDQ) queries generally depend on the current locations of query issuers. Many mechanisms, e.g. broadcast scheme, hoarding, or caching policy have been developed to improve system performance and provide better service, which are specialized for LDQs. It is necessary to design them considering geographical adjacency and characteristics of target area in LDQ. For this reason, this paper proposes the caching policy and broadcast scheme, which these features are reflected in. To develop the caching policy suitable for LDQ in urban area, we apply the moving distance of MH to our caching policy. Moreover, Based on the adjacency of data in LDQ, our broadcast scheme use space-filling curve to cluster data. We evaluate the performance of the caching policy measuring the workload of MHs and the correctness of LDQ results, and the performance of the broadcast scheme measuring the average setup-time of MHs in our experiments. Finally, we expect that our caching policy provides more correct answers when executing LDQ in local cache and leads significant improvement of the workload of MHs. It also seems quite probable that our broadcast scheme leads improvement of battery life of the MH.