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7 May 2012 Automatic decision support in heterogeneous sensor networks
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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.
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Robert Kozma, Timothy Tanigawa, Orges Furxhi, and Sergi Consul "Automatic decision support in heterogeneous sensor networks", Proc. SPIE 8408, Cyber Sensing 2012, 84080M (7 May 2012);

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