scholarly journals A network-of-networks percolation analysis of cascading failures in spatially co-located road-sewer infrastructure networks

2020 ◽  
Vol 538 ◽  
pp. 122971 ◽  
Author(s):  
Shangjia Dong ◽  
Haizhong Wang ◽  
Alireza Mostafizi ◽  
Xuan Song
2012 ◽  
Vol 26 (14) ◽  
pp. 1250087 ◽  
Author(s):  
JIAN-WEI WANG

The network disaster induced by cascading failures has traumatized modern societies. How to protect these networks and improve their robustness against cascading failures has become the key issue. To this end, we construct a cascading model and propose an efficient mitigation strategy against cascading failures. In many real-world networks, there exist some heterogeneous nodes, for example the hosts and the routers in the Internet, and the users and the supply-grid stations in the power grid. In previous studies, however, less cascading models were constructed to describe such fact. Including two types of nodes in a network, we present a new cascading model. We introduce a new mitigation strategy with dynamically adjusting the load and demonstrate its efficiency on the Barabási–Albert (BA) network and the power grid as well as the Internet. We show that with small changes in dynamically adjusting the load the robustness of these networks can be improved dramatically. Our results are useful not only for protecting networks from the local perspective, but also for significantly improving the robustness of the existing infrastructure networks.


2012 ◽  
Vol 27 (03) ◽  
pp. 1350023 ◽  
Author(s):  
JIANWEI WANG

Cascading failures can occur in many infrastructure networks. How to protect these networks and improve their robustness against cascading failures has been of great interest. To this end, considering that there exist some monitoring and protection measures in these networks, we propose a new mitigation strategy and investigate its effectiveness on improving the robustness level against cascading failures in Barabáasi-Albert (BA) networks and the power grid. We numerically observe that only by once adopting this strategy the robustness of BA networks and the power grid can be improved dramatically. We additionally find that BA networks and the power grid can reach the strongest robustness against cascading failures in the case of the specific value of the parameter α, which controls the strength of the initial load on a node. And we obtain the correlation between the load distribution and the effectiveness of the mitigation strategy. Our findings can well explain the origin of the stronger robustness against cascading failures of complex networks and may be very useful for guiding the improvement robustness of infrastructure networks and avoiding various cascading-failure-induced disasters in the real world.


2018 ◽  
Vol 43 ◽  
pp. 114-130 ◽  
Author(s):  
Sisi Duan ◽  
Sangkeun Lee ◽  
Supriya Chinthavali ◽  
Mallikarjun Shankar

2017 ◽  
Vol 31 (09) ◽  
pp. 1750089 ◽  
Author(s):  
Ke-Sheng Yan ◽  
Li-Li Rong ◽  
Qun Li

Infrastructure networks are usually spatially embedded, which makes them even more susceptible to spatially localized failures, i.e. a set of nodes located within a spatially localized area is subject to damage while other nodes do not directly fail. This paper mainly presents a methodological approach for analyzing vulnerability of interdependent infrastructure networks under localized attack. Two types of interdependencies are considered in the cascading failures propagation: functional and geographic interdependencies. The roles of different nodes and geographical proximity are employed to establish the functional interdependency. A novel attack failure model, i.e. localized failure model, is proposed to model geographic interdependency and quantify the failure probabilities of nodes under localized attack. Both topology-based and efficiency-based vulnerabilities of infrastructure networks are investigated. An artificial interdependent power and water networks are generated and their pertinent vulnerability is analyzed through using the presented methodological approach. Our method can help the stakeholders increase their knowledge of the vulnerability of the interdependent spatially embedded infrastructure networks under localized attack and protect them more efficiently.


Netcom ◽  
1994 ◽  
Vol 8 (1) ◽  
pp. 203-224
Author(s):  
Frank R. Bruinsma ◽  
Piet Rietveld

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