A Survey on Conflict Detection in IoT-based Smart Homes

TL;DR

This survey reviews conflict detection methods in IoT-based smart homes, introducing a new taxonomy and model to classify conflicts, analyze recent approaches, and identify future research directions for improved system performance.

Contribution

It presents a novel conflict taxonomy and an advanced classification model, providing a comprehensive review of recent conflict detection techniques in IoT smart homes.

Findings

Classification of conflicts using the proposed model

Analysis of recent conflict detection approaches

Identification of open issues and future research directions

Abstract

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.