A Cellular Automata Hybrid Quasi-Random Monte Carlo Simulation for Estimating the One-to-All Reliability of Acyclic Multi-State Information Networks
Many real-world systems (such as cellular telephones and transportation) are Acyclic Multi-state Information Networks (AMIN). These networks are composed of multi-state nodes, with different states determined by a set of nodes that receive a signal directly from these multi-state nodes, without satisfying the conservation law. Evaluating the AMIN reliability arises at the design and exploitation stage of many types of technical systems. However, existing analytical methods fail to estimate AMIN reliability in a realistic time frame, even for smaller-sized AMINs.