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Proceedings Paper

Network application and framework for quality of information processing
Author(s): Kelvin Marcus; Trevor Cook; Lisa Scott; Andrew Toth
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Paper Abstract

To improve the effectiveness of network-centric decision making, we present a distributed network application and framework that provides users with actionable intelligence reports to support counter insurgency operations. ARL's Quality of Information (QoI) Intelligence Report Application uses QoI metrics like timeliness, accuracy, and precision combined with associated network performance data, such as throughput and latency, and mission-specific information requirements to deliver high quality data to users; that is data delivered in a manner which best supports the ability to make more informed decisions as it relates to the current mission. This application serves as a testing platform for integrated experimentation and validation of QoI processing techniques and methodologies. In this paper, we present the software-system framework and architecture, and show an example scenario that highlights how the framework aids in network integration and enables better data-to-decision.

Paper Details

Date Published: 24 May 2012
PDF: 26 pages
Proc. SPIE 8389, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR III, 838907 (24 May 2012); doi: 10.1117/12.921038
Show Author Affiliations
Kelvin Marcus, U.S. Army Research Lab. (United States)
Trevor Cook, U.S. Army Research Lab. (United States)
Lisa Scott, U.S. Army Research Lab. (United States)
Andrew Toth, U.S. Army Research Lab. (United States)


Published in SPIE Proceedings Vol. 8389:
Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR III
Tien Pham, Editor(s)

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