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Sensor Data Fusion for Location Awareness

Sensor Data Fusion for Location Awareness

O. Sekkas, S. Hadjiefthymiades, E. Zervas
Copyright: © 2007 |Pages: 7
ISBN13: 9781599040028|ISBN10: 1599040026|EISBN13: 9781599040035
DOI: 10.4018/978-1-59904-002-8.ch145
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MLA

Sekkas, O., et al. "Sensor Data Fusion for Location Awareness." Encyclopedia of Mobile Computing and Commerce, edited by David Taniar, IGI Global, 2007, pp. 863-869. https://doi.org/10.4018/978-1-59904-002-8.ch145

APA

Sekkas, O., Hadjiefthymiades, S., & Zervas, E. (2007). Sensor Data Fusion for Location Awareness. In D. Taniar (Ed.), Encyclopedia of Mobile Computing and Commerce (pp. 863-869). IGI Global. https://doi.org/10.4018/978-1-59904-002-8.ch145

Chicago

Sekkas, O., S. Hadjiefthymiades, and E. Zervas. "Sensor Data Fusion for Location Awareness." In Encyclopedia of Mobile Computing and Commerce, edited by David Taniar, 863-869. Hershey, PA: IGI Global, 2007. https://doi.org/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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