Design of Reliable and Robust Networks
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".
Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 13534
Special Issue Editors
Interests: design of reliable networks, complex networks, network science, graph theory
Special Issue Information
Dear Colleagues,
You are cordially invited to submit your original research or review papers to this Special Issue on “Design of reliable and robust networks” in Applied Science.
Critical infrastructures, such as telecommunication, water, gas, energy, or any other transport networks, are omnipresent and play a pivotal role in ensuring the smooth functioning of modern day living. These networks have to constantly deal with failures of their components. Several strategies to mitigate the effects of single failures have been proposed in the literature. However, multiple failure scenarios are more difficult to manage. The concept of robustness is used to quantify how good a network is under those large-scale failure scenarios. On the other hand, modelling the type of failures, intentional attacks, or natural disasters is also crucial to improve the techniques to face these scenarios.
This Special Issue is an opportunity to further disseminate the scientific and technological development related to the design of reliable and robust networks, including but not limited to the following topics:
- Novel network resilient and robustness metrics;
- Identification and protection of critical infrastructures;
- Protocols and algorithms to improve the network resilience;
- Modelling networks failures and attacks…
Assoc. Prof. Dr. Eusebi Calle
Prof. José Luis Marzo
Guest Editors
Manuscript Submission Information
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Keywords
- Modeling malicious behavior or attacks on networks
- Models and algorithms of survivable networks design and modeling
- Multilayer networks resilience
- Resilient cloud computing architectures/solutions
- Resilience of data centers
- Resilience of emerging communication technologies
- Resilience of multi-domain communications
- Resilience of Software-Defined Networks (SDN)
- Resilience of wireless and sensor networks
- Disaster-resilience of communication networks
- Energy efficiency in survivable networks
- Fault and disruption tolerance evaluation
- Robustness metrics
- Interdependent network design
- Characterization of transport networks topologies
- Resilience of networked critical infrastructures
- Reliability and robustness of networks optimized and managed-based on AI/Machine Learning techniques
- Data analytics and Machine Learning for fault diagnosis
- Network robustness to natural disasters…
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