Data dissemination in wireless computing environments
Data dissemination in wireless computing environments
Location dependent query processing
Proceedings of the 2nd ACM international workshop on Data engineering for wireless and mobile access
Processing location-dependent queries in a multi-cell wireless enviroment
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 Management in Location-Dependent Information Services
IEEE Pervasive Computing
Querying in Highly Mobile Distributed Environments
VLDB '92 Proceedings of the 18th International Conference on Very Large Data Bases
Data Organization Issues for Location-Dependent Queries in Mobile Computing
ADBIS-DASFAA '00 Proceedings of the East-European Conference on Advances in Databases and Information Systems Held Jointly with International Conference on Database Systems for Advanced Applications: Current Issues in Databases and Information Systems
Moving Objects Databases: Issues and Solutions
SSDBM '98 Proceedings of the 10th International Conference on Scientific and Statistical Database Management
Location Dependent Data and its Management in Mobile Databases
DEXA '98 Proceedings of the 9th International Workshop on Database and Expert Systems Applications
Evolution of mobile location-based services
Communications of the ACM - Mobile computing opportunities and challenges
Networking support for query processing in sensor networks
Communications of the ACM - Wireless sensor networks
Location dependent query proxy
Proceedings of the 2005 ACM symposium on Applied computing
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In wireless mobile environments, we increasingly use data that depends on the location of mobile clients However, requested geographical objects (GOs) do not exist in all areas with uniform distribution More urbanized areas have greater population and greater GO density Thus the results of queries may vary based on the perception of distance We use urbanization as a criterion to analyze the density of GOs We propose the Effective Distance (ED) measurement, which is not a physical distance but the perceived distance varying based on the extent of urbanization We present the efficiency of supporting location-dependent data on GOs with proposed ED We investigate several membership functions to establish this proposed ED based on the degree of urbanization In our evaluation, we show that the z-shaped membership function can flexibly adjust the ED Thus, we obtain improved performance to provide the location-dependent data because we can differentiate the ED for very densely clustered GOs in urbanized areas.