Application of multi-agent technologies in the context - oriented environment of the smart home component

The purpose of this work is to investigate the problem of creating a multi-agent system for monitoring a context-dependent smart home and performing appropriate actions based on the current state of the home. There are two main intelligent features introduced in the architecture of this project to facilitate a multi-agent system in a smart home environment. The first of them learns and adapts to the movements and actions of the residents. The second function predicts events that happen to residents. The integration of the system is presented using a simulation application of the technology in the working environment of a smart home. The proposed architecture expands from the conversion of passive sensors into smart devices by adding processing and analytical capabilities from the integration software. This study will be tested in a simulated environment with a visualized house plan. It focuses mainly on software that provides the infrastructure for intelligent monitoring of movement inside the home. The infrastructure includes protocols for agent interaction and communication protocols. Context awareness for smart home, proposed in this article, uses a multi-agent system to represent context and shared knowledge between agents.

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