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Sensor Data Fusion for Location Awareness
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Author(s): O. Sekkas (University of Athens, Greece), S. Hadjiefthymiades (University of Athens, Greece)and E. Zervas (Tei-Athens, Greece)
Copyright: 2007
Pages: 7
Source title:
Encyclopedia of Mobile Computing and Commerce
Source Author(s)/Editor(s): David Taniar (Monash University, Australia)
DOI: 10.4018/978-1-59904-002-8.ch145
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Abstract
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.
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