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2007 IEEE International Conf. on Application-specific Systems, Architectures and Processors (ASAP) (2007)
Montreal, QC, Canada
July 9, 2007 to July 11, 2007
ISBN: 978-1-4244-1026-2
pp: 136-141
Ruth Aguilar-Ponce , The Center for Advanced Computer Studies, University of Louisiana at Lafayette, PO Box 4330, LA 70504-4330 USA
Jason McNeely , The Center for Advanced Computer Studies, University of Louisiana at Lafayette, PO Box 4330, LA 70504-4330 USA
Abu Baker , The Center for Advanced Computer Studies, University of Louisiana at Lafayette, PO Box 4330, LA 70504-4330 USA
Ashok Kumar , The Center for Advanced Computer Studies, University of Louisiana at Lafayette, PO Box 4330, LA 70504-4330 USA
Magdy Bayoumi , The Center for Advanced Computer Studies, University of Louisiana at Lafayette, PO Box 4330, LA 70504-4330 USA
ABSTRACT
Data fusion systems is an active research field with applications in several fields such as manufacturing, surveillance, air traffic control, robotics and remote sensing. The wide interest in wireless sensor networks has fueled the interest in data fusion as a medium to compress and interpret the collected data from the spatially distributed sensors. The present paper gives a general overview on the current state of data fusion schemes for wireless sensor networks. Specifically this paper presents a review on some of the commonly used techniques such as Kalman filtering, beamforming, transferable belief model, filter-based techniques and linear mean square estimator.
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CITATION

R. Aguilar-Ponce, J. McNeely, Ashok Kumar, Abu Baker and Magdy Bayoumi, "Multisensor data fusion schemes for wireless sensor networks," 2007 IEEE International Conf. on Application-specific Systems, Architectures and Processors (ASAP), Montreal, QC, Canada, 2007, pp. 136-141.
doi:10.1109/ASAP.2007.4429978
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