Sensor Data Fusion for Location Awareness
O. Sekkas (University of Athens, Greece), S. Hadjiefthymiades (University of Athens, Greece) and E. Zervas (Tei-Athens, Greece)
Copyright: © 2007
During the past few years, several location systems have been proposed that use multiple technologies simultaneously in order to locate a user. One such system is described in this article. It relies on multiple sensor readings from Wi-Fi access points, IR beacons, RFID tags, and so forth to estimate the location of a user. This technique is known better as sensor information fusion, which aims to improve accuracy and precision by integrating heterogeneous sensor observations. The proposed location system uses a fusion engine that is based on dynamic Bayesian networks (DBNs), thus substantially improving the accuracy and precision.