Radio communication networks in critical infrastructures like airports are often mission-critical, and must be adequately protected from external electromagnetic interference and attacks. Given the long distances involved and the need to use low-powered WiFi signals, intermediate relay nodes must be deployed on the field to ensure multi-hop reliable communication, also guaranteeing a sufficient degree of fault-tolerance. In this short paper, we introduce the problem and briefly review our recent approach to automatically synthesise a cost-optimal fault-tolerant relay network. Differently from ad-hoc or heuristic approaches, our tool-chain is entirely based on off-the-shelf Artificial Intelligence general-purpose reasoners, namely MILP, PB-SAT, and SMT/OMT solvers. We also show experimental results on large scenarios from the Leonardo da Vinci Airport in Rome, Italy.
Optimal fault-tolerant relay node positioning in critical wireless networks via artificial intelligence
Melatti I.;
2020-01-01
Abstract
Radio communication networks in critical infrastructures like airports are often mission-critical, and must be adequately protected from external electromagnetic interference and attacks. Given the long distances involved and the need to use low-powered WiFi signals, intermediate relay nodes must be deployed on the field to ensure multi-hop reliable communication, also guaranteeing a sufficient degree of fault-tolerance. In this short paper, we introduce the problem and briefly review our recent approach to automatically synthesise a cost-optimal fault-tolerant relay network. Differently from ad-hoc or heuristic approaches, our tool-chain is entirely based on off-the-shelf Artificial Intelligence general-purpose reasoners, namely MILP, PB-SAT, and SMT/OMT solvers. We also show experimental results on large scenarios from the Leonardo da Vinci Airport in Rome, Italy.Pubblicazioni consigliate
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