Location dependent query processing
Proceedings of the 2nd ACM international workshop on Data engineering for wireless and mobile access
Proxy Cache Replacement Algorithms: A History-Based Approach
World Wide Web
Mobile Computing and Databases-A Survey
IEEE Transactions on Knowledge and Data Engineering
An Architecture for Location Dependent Query Processing
DEXA '01 Proceedings of the 12th International Workshop on Database and Expert Systems Applications
DEXA '01 Proceedings of the 12th International Workshop on Database and Expert Systems Applications
Using Mobile Agents to Support Unreliable Database Retrieval Operations
AINA '03 Proceedings of the 17th International Conference on Advanced Information Networking and Applications
Location Dependent Data and its Management in Mobile Databases
DEXA '98 Proceedings of the 9th International Workshop on Database and Expert Systems Applications
CW '04 Proceedings of the 2004 International Conference on Cyberworlds
A generalized target-driven cache replacement policy for mobile environments
Journal of Parallel and Distributed Computing
Developing a dynamic query system on location-based services
International Journal of Mobile Communications
BerlinTainment: an agent-based context-aware entertainment planning system
IEEE Communications Magazine
An agent-based system for collaborative informal learning in a pervasive environment
International Journal of Mobile Communications
Mobile station positioning using time difference of arrival and received signal strength
International Journal of Mobile Communications
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In recent years, there is a growing interest for location-dependent information services among mobile users. Mobile phones are used by most of the users not only to communicate, but also to access the information they need from every place and at anytime. In this article, we introduce an agent-based approach to provide location-dependent and context aware services proactively, which are always relevant to the user's context to provide a complete satisfaction of Location-Based Services. The services are based on the location of the user, the activity that he is involved in at a particular instance (based on user's daily planner), his profile (interest) and the time at which the data is retrieved. This proposed approach also identifies the entities that are more feasible for providing profile data, and a decentralised solution using mobile agents that act intelligently to retrieve all related information for the user's planned activity. Moreover, an efficient caching mechanism called 'History and Priority-based approach' that provides the user with context-oriented data periodically and a cache replacement policy called 'Profile based, Target-Driven Cache Replacement Policy' which filters unwanted data from the cache that is not useful for the user has been proposed in this article.