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Proceedings Paper

Automatic decision support in heterogeneous sensor networks
Author(s): Robert Kozma; Timothy Tanigawa; Orges Furxhi; Sergi Consul
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Paper Abstract

There is a need to model complementary aspects of various data channels in distributed sensor networks in order to provide efficient tools of decision support in rapidly changing, dynamic real life scenarios. Our aim is to develop an autonomous cyber-sensing system that supports decision support based on the integration of information from diverse sensory channels. Target scenarios include dismounts performing various peaceful and/or potentially malicious activities. The studied test bed includes Ku band high bandwidth radar for high resolution range data and K band low bandwidth radar for high Doppler resolution data. We embed the physical sensor network in cyber network domain to achieve robust and resilient operation in adversary conditions. We demonstrate the operation of the integrated sensor system using artificial neural networks for the classification of human activities.

Paper Details

Date Published: 7 May 2012
PDF: 9 pages
Proc. SPIE 8408, Cyber Sensing 2012, 84080M (7 May 2012); doi: 10.1117/12.921348
Show Author Affiliations
Robert Kozma, The Univ. of Memphis (United States)
Timothy Tanigawa, The Univ. of Memphis (United States)
Orges Furxhi, The Univ. of Memphis (United States)
Sergi Consul, The Univ. of Memphis (United States)


Published in SPIE Proceedings Vol. 8408:
Cyber Sensing 2012
Igor V. Ternovskiy; Peter Chin, Editor(s)

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