Consensus-Based Distributed Information Fusion

Project: Research project

Description

Researchers at Northwestern University, McCormick School of Engineering and Applied Science,
will work closely with U.S. Army Research Laboratory researcher (ARL) Jemin George on investigating
the utility of different robust consensus algorithms for the development and implementation
of distributed information fusion algorithms. Researchers would also assist the ARL researcher
on developing an adaptive internal model-based robust dynamic consensus algorithm that would
allow the network nodes to reach consensus on uncertain dynamic signals. These algorithms will
enable the fusion of information from disparate systems and would allow shared decision-making
over low-power, short lifetime sensors with limited communication capabilities. More importantly,
such capabilities would provide efficient situational awareness to the soldiers with limited
resources.
StatusFinished
Effective start/end date1/1/1612/31/18

Funding

  • Office of Naval Research (N00014-16-1-2106-P00001)

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Information fusion
Research laboratories
Communication
Sensors