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
Using Predictive Prefetching to Improve Location Awareness of Mobile Information Service
ICCS '02 Proceedings of the International Conference on Computational Science-Part III
Semantic Data Caching and Replacement
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
MobiShare: Sharing Context-Dependent Data and Services from Mobile Sources
WI '03 Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence
Improving prediction level of prefetching for location-aware mobile information service
Future Generation Computer Systems - Special issue: Modeling and simulation in supercomputing and telecommunications
Enhancing of the prefetching prediction for context-aware mobile information services
MSN'05 Proceedings of the First international conference on Mobile Ad-hoc and Sensor Networks
An adaptive network prefetch scheme
IEEE Journal on Selected Areas in Communications
Using common Lisp to prototype offline work in web applications for rich domains
Proceedings of the 6th European Lisp Workshop
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This paper presents a mobility prediction method for context-aware service in mobile networks. It aims to reduce the latency time to get the refreshed information appropriated to the current location of mobile users. The proposed method is to effectively limit the prefetched information into the most next location context. It makes use of the mobile reference count and the residence time that stands for the mobile user’s visiting characteristics in any cell area. Then it also considers the information usability in order to further predict the prefetching candidates. In the numerical results, the proposed method is less latency time than that of the previous schemes to prefetch information matched to user’s current location.