Network Sciences Cta

Abstract

This project supports a competitively selected university and industry consortium, the Network Sciences Collaborative Technology Alliance (NS CTA), formed to leverage commercial research investments to provide solutions to Army's requirements for robust, survivable, and highly mobile wireless communications networks, while meeting the Army's needs for a state-of-the-art wireless mobile communications networks for command-on-the-move. The NS CTA performs foundational, cross-cutting network science research leading to: a fundamental understanding of the interplay and common underlying science among social/cognitive, information, and communications networks; determination of how processes and parameters in one network affect and are affected by those in other networks; and prediction and control of the individual and composite behavior of these complex interacting networks. This research will lead to optimized human performance in network-enabled warfare and greatly enhanced speed and precision for complex military operations. The CTA facilitates the exchange of people among the collaborating organizations to provide cross-organizational perspectives on basic research challenges, as well as the use of state-of-the-art facilities and equipment at the participating organizations. Beginning in FY12, all funds from PE 61104/project J22 were realigned to this project. Work in this project builds fundamental knowledge for and accelerates the transition of communications and networks technology to PE 0602783A (Computer and Software Technology). The cited work is consistent with the Assistant Secretary of Defense for Research and Engineering science and technology priority focus areas and the Army Modernization Strategy. Work in this project is performed by the U.S. Army Research Laboratory (ARL) in Adelphi, MD.

Document Details

• Document Type: Project
• Publication Date: Oct 01, 2016
• Source ID: H50_0601104A_1_2040_PB_2016

Tags

Fields of Study

• Computer science

Readers

• Defense Technology Research and Development.
• Military Science and Technology Research and Modernization.
• Neural Network Machine Learning.