Networks· 2026Q2
Fault‐Tolerant Mutual‐Visibility: Complexity and Solutions for Grid‐Like Networks
- 0citations
- Q2SCImago
- 2026year
Short summary
A new metric, 'k-fault-tolerant mutual visibility' (k-ftmv), quantifies the maximum number of vertices that can communicate via shortest, internally disjoint paths even if k intermediate vertices fail, proving its NP-hard computation for any k>0.
AI-generated from the title and abstract; the full text is not read.
Key points
- Introduces k-fault-tolerant mutual visibility (k-ftmv) sets: vertex sets where any two non-adjacent vertices have k+1 internally disjoint shortest paths.
- The classical mutual visibility corresponds to the case k=0.
- Computing the size of the largest k-ftmv set is NP-hard for any positive integer k.
- Exact formulas for k-ftmv sets are derived for grid-like networks (cylinders, tori) and diameter-two networks (Hamming graphs, direct products of complete graphs).
AI-generated from the title and abstract; the full text is not read.
Abstract
ABSTRACT Networks are often modeled using graphs, and within this setting we introduce the notion of ‐fault‐tolerant mutual visibility. Informally, a set of vertices in a graph is a ‐fault‐tolerant mutual‐visibility set (‐ftmv set) if any two non‐adjacent vertices in are connected by a bundle of shortest paths such that: () each shortest path contains no other vertex of , and () these paths are internally disjoint. The cardinality of a largest ‐ftmv set is denoted by . The classical notion of mutual visibility corresponds to the case . This generalized concept is motivated by applications in communication networks, where agents located at vertices must communicate both efficiently (i.e., via shortest paths) and confidentially (i.e., without messages passing through the location of any other agent). The original notion of mutual visibility may fail in unreliable networks, where vertices or links can become unavailable. Several properties of ‐ftmv sets are established, including a natural relationship between and , as well as a characterization of graphs for which is large. It is shown that computing is NP‐hard for any positive integer , whether is fixed or not. Exact formulae for are derived for several specific graph topologies, including grid‐like networks such as cylinders and tori, and for diameter‐two networks defined by Hamming graphs and by the direct product of complete graphs.
The authors' abstract, as published at the source. Networks, 2026 · DOI ↗
Continue with a free account
Ask the paper: 3 free questions a day about this paper; save it, get its citation, new summaries every day for your field. Takeaways are Premium.
Continue free on the webSign in with Google or Apple; no card needed. You come back to this paper.
On your phone:
Field: Computer Networks and Communications
Computer Networks and CommunicationsComputer Science