Introducing a decision tree-based indoor positioning technique
Expert Systems with Applications: An International Journal
Extended Kalman Filter for wireless LAN based indoor positioning
Decision Support Systems
Strategy of Positioning for LBS on U-Campus
KES-AMSTA '07 Proceedings of the 1st KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
Improvement of Kalman filters for WLAN based indoor tracking
Expert Systems with Applications: An International Journal
A Kalman filter updating method for the indoor moving object database
Expert Systems with Applications: An International Journal
Journal of Network and Computer Applications
Evaluating a computer-based simulation program to support wireless network fundamentals
Computers & Education
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Two types of applications use indoor positioning: services linked with mobility, such as guided tour or meeting systems, and the active security of wireless network which locates intrusive unauthorized mobile terminals. Indoor positioning cannot be managed by a geostationnary system like GPS. In fact, current researches are conducted to conceive indoor positioning using wireless networks such as WiFi. In this paper, we study such a mechanism and compare our accuracy results to other solutions. This positioning function is combined to a mobility prediction mechanism and constitute the mobility service in a Video on Demand system called MoVie (Mobile Video).