An Evolutionary Emergency Model of Home Network Environment
نویسندگان
چکیده
In this paper, we propose an evolutionary emergency model of home network environment (EEMHNE). This model not only can do self-tuning to fit the home network environment but also detect the emergency event automatically. There are three modules in this model, namely, emergency process module (EPM), emergency knowledge base (EKB), and knowledge base evolution module (KBEM). EKB includes three components and can provide rules to EPM for fuzzy inferences. EPM determines the emergency situations by fuzzy inferences and send warning messages to the users. KBEM can adjust all components in EKB by using genetic algorithm. Via this model, we can have the more reliable and safer home network environment
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