MAAICYSEMar 28, 2023

Smart Home Environment Modelled with a Multi-Agent System

arXiv:2304.08494v13 citationsh-index: 5
Originality Synthesis-oriented
AI Analysis

This work addresses the problem of reducing operational costs in smart homes for residents, but it is incremental as it builds on existing multi-agent and rule-based approaches.

The authors tackled the problem of managing appliances in a smart home by developing a prototype that simulates a context-aware environment using a multi-agent system with predefined rules, resulting in a reduction in operational costs for running devices.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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