# A Conflict Detection Framework for IoT Services in Multi-resident Smart Homes

arXiv: https://arxiv.org/abs/2004.12702 · HTML: https://mlsanity.com/paper/2004.12702/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 27 Apr 2020.

## Built on by (most cited first, 3 of 3)

- [Conflict Detection in IoT-based Smart Homes](https://mlsanity.com/paper/2107.13179/) (2021)
- [Indoor Localization for Personalized Ambient Assisted Living of Multiple Users in Multi-Floor Smart Environments](https://mlsanity.com/paper/2207.09025/) (2022)
- [Positional Encoding-based Resident Identification in Multi-resident Smart Homes](https://mlsanity.com/paper/2310.17836/) (2023)

## Abstract (arXiv)

We propose a novel framework to detect conflicts among IoT services in a multi-resident smart home. A novel IoT conflict model is proposed considering the functional and non-functional properties of IoT services. We design a conflict ontology that formally represents different types of conflicts. A hybrid conflict detection algorithm is proposed by combining both knowledge-driven and data-driven approaches. Experimental results on real-world datasets show the efficiency of the proposed approach.