Topology generation for studying the interdependence of communication networks and electrical networks
topology, communication network, electrical grid
Description
The interdependence of communication networks and electrical power grids is a topic of discussion in recent times. Though researchers try to map the interdependence, there are no topology-level frameworks that have data on both communication networks and electrical power grids. This work aims to generate such topology-level frameworks to publish as open-source to encourage research along this direction.
Prerequisites
Python: NetworkX
Basics of graph theory.
Contact
shakthivelu.janardhanan@tum.de
Supervisor:
Estimating the size of the largest minimal cut set
Description
A cut set of a flow is a set of components that, when failed, cause the flow to fail. A cut set is minimal when it cannot be further reduced. A robust flow must have a few minimal cut sets and very large minimal cut sets. In this work, we try to estimate the maximum size of the minimal cut set for a flow. We use the Min-Cut Max-Flow theorem as the basis to investigate the maximum size of the minimal cut set.
Prerequisites
C++ or Python: NetworkX, Igraph
Kommunikationsnetze, Data Networking, Communication network reliability
Contact
shakthivelu.janardhanan@tum.de
Supervisor:
Investigating minimal cut set centrality
minimal cut set, centrality, metric
Description
A cut set of a flow is a set of components when removed, cause the flow to fail. A cut set is minimal if it cannot be further reduced. Based on minimal cut sets for flows, this work aims to investigate a potential centrality metric to determine the importance of particular nodes in the network.
Prerequisites
Tools: Python, Good to know Networkx and igraph
Helpful Courses: Kommunikationsnetze, Data Networking, Communication Network Reliability
Contact
shakthivelu.janardhanan@tum.de