Resilience Patterns in Dynamic Aircraft-to-Aircraft Communication Networks
Date/Time: Friday, April 11, 2025, 1:00 to 2:00 pm
Online via Zoom
Join Zoom Meeting:
https://rutgers.zoom.us/j/92135330065?pwd=YPfqTKC82NjiGSncvKAlLmVknnFTM3.1
FEATURED SPEAKER: Sam Chatterjee, Pacific Northwest National Labs and DHS SENTRY Center
Abstract:
While resilience of infrastructure networks with fixed size and topology have been quantified using network science methods, the underlying mechanisms have not been elucidated for resilience of dynamic networks that change in size and topology. Using aircraft-to-aircraft (A2A) communication networks, we demonstrate whether and how changes in network size and topology over time affect the resilience of dynamic infrastructure networks. We simulate failure and recovery of spatially-constrained A2A communication networks for an airspace region in the U.S. over multiple hourly time windows in a day. These networks were constructed by mapping aircraft locations to nodes and communication channels between aircrafts to edges based on spatial proximity and bandwidth availability. The results imply that the number and relative sizes of the connected network components are key factors affecting the variation in resilience of dynamic networks over time across diverse failure events. Our network science-based simulation approach captures failure patterns of A2A networks beyond an existing analytical model for transportation systems that is limited to locally tree-like random networks. Furthermore, network centrality-based recovery strategies (i.e., betweenness and degree) outperform random recovery across multiple hourly time windows. Thus, hourly variability in resilience patterns of A2A communication networks should be a key consideration for developing dynamic airspace transportation risk mitigation policies.
Bio:
Dr. Samrat (Sam) Chatterjee is a Chief Data Scientist and Team Lead with the Data Sciences and Machine Intelligence Group at the U.S. Department of Energy’s Pacific Northwest National Laboratory in Richland, WA and an Affiliate Professor of Civil and Environmental Engineering at Northeastern University in Boston, MA. His research, in support of multiple DHS, DOE, and DoD sponsors, is focused on infrastructure network resilience modeling, homeland security risk and decision analytics, and multi-agent learning and optimization. He has authored 2 books, 6 book chapters, and 105 peer-reviewed journal articles, conference papers, and technical reports, and received multiple best paper awards. He conducted postdoctoral research on infrastructure risk and decision analysis at the DHS-CREATE Homeland Security Center of Excellence at University of Southern California. Sam is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), Chair of the resilience analysis specialty group of the Society for Risk Analysis (SRA), Editorial Board Member of the Risk Analysis journal, and obtained a Ph.D. in Civil Engineering with focus on transportation systems from Vanderbilt University.
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