Robustness of interdependent random geometric networks
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Author(s)
Yeh, Edmund
Zhang, Jianan
Modiano, Eytan H
Date Issued
February 2017
Journal
2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton)
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Zhang, Jianan, Edmund Yeh and Eytan Modiano. "Robustness of Interdependent Random Geometric Networks." 2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 27-30 September, 2016, Monticello, IL, IEEE, 2016, pp. 172–79.
Version
Author's final manuscript
Abstract
We propose an interdependent random geometric graph (RGG) model for interdependent networks. Based on this model, we study the robustness of two interdependent spatially embedded networks where interdependence exists between geographically nearby nodes in the two networks. We study the emergence of the giant mutual component in two interdependent RGGs as node densities increase, and define the percolation threshold as a pair of node densities above which the mutual giant component first appears. In contrast to the case for a single RGG, where the percolation threshold is a unique scalar for a given connection distance, for two interdependent RGGs, multiple pairs of percolation thresholds may exist, given that a smaller node density in one RGG may increase the minimum node density in the other RGG in order for a giant mutual component to exist. We derive analytical upper bounds on the percolation thresholds of two interdependent RGGs by discretization, and obtain 99% confidence intervals for the percolation thresholds by simulation. Based on these results, we derive conditions for the interdependent RGGs to be robust under random failures and geographical attacks.
MIT Department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
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Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1109/ALLERTON.2016.7852226
