Designing virus-resistant, high-performance networks: A game-formation approach

Stojan Trajanovski, Fernando A. Kuipers, Yezekael Hayel, Eitan Altman, Piet Van Mieghem

Research output: Contribution to journalArticleScientificpeer-review

2 Citations (Scopus)
49 Downloads (Pure)

Abstract

Designing an optimal network topology while balancing multiple, possibly conflicting objectives like cost, performance, and resiliency to viruses is a challenging endeavor, let alone in the case of decentralized network formation. We therefore propose a game-formation technique where each player aims to minimize its cost in installing links, the probability of being infected by a virus and the sum of hopcounts on its shortest paths to all other nodes.

Original languageEnglish
Pages (from-to)1-10
Number of pages10
JournalIEEE Transactions on Control of Network Systems
VolumePP
Issue number99
DOIs
Publication statusE-pub ahead of print - 2018

Keywords

  • Game theory
  • Network design
  • Network performance
  • Networks of Autonomous Agents
  • Virus spread

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