Sensor assignment to mission in AI-TECD

Robert Ganger; Geeth de Mel; Tien Pham; Ronald Rudnicki; Yonatan Schreiber

doi:10.1117/12.2229406

12 May 2016 Sensor assignment to mission in AI-TECD

Robert Ganger, Geeth de Mel, Tien Pham, Ronald Rudnicki, Yonatan Schreiber

Proceedings Volume 9831, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR VII; 98310E (2016) https://doi.org/10.1117/12.2229406
Event: SPIE Defense + Security, 2016, Baltimore, MD, United States

Abstract

Sensor-mission assignment involves the allocation of sensors and other information-providing resources to missions in order to cover the information needs of the individual tasks within each mission. The importance of efficient and effective means to find appropriate resources for tasks is exacerbated in the coalition context where the operational environment is dynamic and a multitude of critically important tasks need to achieve their collective goals to meet the objectives of the coalition. The Sensor Assignment to Mission (SAM) framework—a research product of the International Technology Alliance in Network and Information Sciences (NIS-ITA) program—provided the first knowledge intensive resource selection approach for the sensor network domain so that contextual information could be used to effectively select resources for tasks in coalition environments. Recently, CUBRC, Inc. was tasked with operationalizing the SAM framework through the use of the I2WD Common Core Ontologies for the Communications-Electronics Research, Development and Engineering Center (CERDEC) sponsored Actionable Intelligence Technology Enabled Capabilities Demonstration (AI-TECD). The demonstration event took place at Fort Dix, New Jersey during July 2015, and this paper discusses the integration and the successful demonstration of the SAM framework within the AI-TECD, lessons learned, and its potential impact in future operations.

Citation Download Citation

Robert Ganger, Geeth de Mel, Tien Pham, Ronald Rudnicki, and Yonatan Schreiber "Sensor assignment to mission in AI-TECD", Proc. SPIE 9831, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR VII, 98310E (12 May 2016); https://doi.org/10.1117/12.2229406

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