Consensus-Based Distributed Information Fusion

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.