The active badge location system
ACM Transactions on Information Systems (TOIS)
The Cricket location-support system
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
The smart floor: a mechanism for natural user identification and tracking
CHI '00 Extended Abstracts on Human Factors in Computing Systems
LANDMARC: Indoor Location Sensing Using Active RFID
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
Positioning Analysis of Multiple Antennas in a Dense RFID Reader Environment
SAINT-W '06 Proceedings of the International Symposium on Applications on Internet Workshops
A study of propagation effects in a wireless test bed
WSEAS TRANSACTIONS on COMMUNICATIONS
WSEAS TRANSACTIONS on COMMUNICATIONS
Constructing the multi-agents communication model to implement dynamic intelligent system
WSEAS TRANSACTIONS on COMMUNICATIONS
Wireless Health Care Service System for Elderly With Dementia
IEEE Transactions on Information Technology in Biomedicine
Switching power supply unit for an autonomous monitoring system
WSEAS Transactions on Circuits and Systems
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In recent years, there has dramatic proliferation of research concerned with Radio Frequency Identification (RFID). The RFID technologies are getting considerable attentions not only academic research but also the applications of enterprise. One of most important issues of applications is the indoor position location. Many researchers have used varied technologies to perform the tracking of indoor position location. In this paper, we will purpose a new method using RFID tags to perform indoor position location tracking, too. This method uses Received Signal Strength (RSS) to collect signal strength from reference tags beforehand. Next, signal strength is used to set up Power Level areas of ranges by reference tags. And then, using signal strength from reference tags to match signal strength by track tags. Finally, when track tags is set up into indoor environments, it will find out the position of neighboring reference tags, and using arithmetic mean to calculate the location values. A preliminary experiment proves that our method provides a better precision than LANDMRC system.