Automatic decision support in heterogeneous sensor networks

Robert Kozma; Timothy Tanigawa; Orges Furxhi; Sergi Consul

doi:10.1117/12.921348

7 May 2012 Automatic decision support in heterogeneous sensor networks

Robert Kozma, Timothy Tanigawa, Orges Furxhi, Sergi Consul

Proceedings Volume 8408, Cyber Sensing 2012; 84080M (2012) https://doi.org/10.1117/12.921348
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

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 K_u 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.

Citation Download Citation

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); https://doi.org/10.1117/12.921348

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available