Smart Home Environment Modelled with a Multi-Agent System
Mohammad Rasras, Iuliana Marin, Serban Radu

TL;DR
This paper presents a prototype of a smart home environment modeled with a multi-agent system, simulating context-aware agents to automate daily activities and reduce operational costs, with future plans for health monitoring integration.
Contribution
It introduces a multi-agent based simulation of a smart home environment with context-aware agents for automation and cost reduction, including future health monitoring features.
Findings
Successful simulation of a smart home with three agents and five locations
Agents behave based on predefined rules for daily activities
Potential to support health monitoring in future implementations
Abstract
A smart home can be considered a place of residence that enables the management of appliances and systems to help with day-to-day life by automated technology. In the current paper is described a prototype that simulates a context-aware environment, developed in a designed smart home. The smart home environment has been simulated using three agents and five locations in a house. The context-aware agents behave based on predefined rules designed for daily activities. Our proposal aims to reduce operational cost of running devices. In the future, monitors of health aspects belonging to home residents will sustain their healthy life daily.
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Taxonomy
TopicsContext-Aware Activity Recognition Systems · IoT-based Smart Home Systems · IoT and Edge/Fog Computing
