A Survey on Conflict Detection in IoT-based Smart Homes
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Abstract (arXiv)
As the adoption of IoT-based smart homes continues to grow, the importance of addressing potential conflicts becomes increasingly vital for ensuring seamless functionality and user satisfaction. In this survey, we introduce a novel conflict taxonomy, complete with formal definitions of each conflict type that may arise within the smart home environment. We design an advanced conflict model to effectively categorize these conflicts, setting the stage for our in-depth review of recent research in the field. By employing our proposed model, we systematically classify conflicts and present a comprehensive overview of cutting-edge conflict detection approaches. This extensive analysis allows us to highlight similarities, clarify significant differences, and uncover prevailing trends in conflict detection techniques. In conclusion, we shed light on open issues and suggest promising avenues for future research to foster accelerated development and deployment of IoT-based smart homes, ultimately enhancing their overall performance and user experience.
Key facts. Cited by 4 papers in the map (data through 13 Oct 2026). First posted on arXiv 3 Oct 2023.
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Citing papers per year: 2023: 1; 2024: 1; 2025: 0; 2026: 2.
4 papers.
- 2026HearthNet: Edge Multi-Agent Orchestration for Smart Homescited by 2
- 2023Positional Encoding-based Resident Identification in Multi-resident Smart Homescited by 0
- 2024Automation of Smart Homes with Multiple Rule Sourcescited by 0
- 2026Poster: EdgeCitadel -- Hybrid NATS-MQTT Orchestration for Edge Multi-Agent Systemscited by 0
- 2026Poster: EdgeCitadel -- Hybrid NATS-MQTT Orchestration for Edge Multi-Agent Systems20 Apr 2026
- 2026HearthNet: Edge Multi-Agent Orchestration for Smart Homes16 Mar 2026
- 2024Automation of Smart Homes with Multiple Rule Sources3 Jan 2024
- 2023Positional Encoding-based Resident Identification in Multi-resident Smart Homes27 Oct 2023