Abstract
Algebraic connectivity is a global criterion for assessing network resistance to failures. Algebraic connectivity is a monotone measure against the number of links added to a given network to enhance its robustness. In this paper, we show the effect of link addition on the size of cascading failures. Accordingly, we consider two different strategies for step-by-step link addition: Adding links to the network's core and adding links to the whole network. We choose new links using simulated annealing to maximize the algebraic connectivity. Simulation results suggest that although the core of the network has a significant impact on network robustness, adding links to the core did not significantly affect cascading failures. Conversely, we find that adding links to the whole network make the network robust against cascading failures.
Original language | English |
---|---|
Title of host publication | 2021 26th International Computer Conference, Computer Society of Iran (CSICC) |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Number of pages | 4 |
ISBN (Electronic) | 978-1-6654-1241-4 |
ISBN (Print) | 978-1-6654-2961-0 |
DOIs | |
Publication status | Published - 7 May 2021 |
Externally published | Yes |
Event | 26th International Computer Conference, Computer Society of Iran - Tehran, Iran, Islamic Republic of Duration: 3 Mar 2021 → 4 Mar 2021 |
Publication series
Name | 26th International Computer Conference, Computer Society of Iran, CSICC 2021 |
---|
Conference
Conference | 26th International Computer Conference, Computer Society of Iran |
---|---|
Abbreviated title | CSICC 2021 |
Country/Territory | Iran, Islamic Republic of |
City | Tehran |
Period | 3/03/21 → 4/03/21 |
Bibliographical note
Publisher Copyright:© 2021 IEEE.
Keywords
- Algebraic connectivity
- Cascading failures
- power grid
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Information Systems and Management
- Artificial Intelligence
- Computer Networks and Communications
- Computer Science Applications