A Survey on Conflict Detection in IoT-based Smart Homes

October 03, 2023 ยท The Cartographer ยท ๐Ÿ› ACM Computing Surveys

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
Survey/review paper โ€” maps the landscape rather than implementing a method.

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"Title-pattern auto-detect: A Survey on Conflict Detection in IoT-based Smart Homes"

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Authors Bing Huang, Dipankar Chaki, Athman Bouguettaya, Kwok-Yan Lam arXiv ID 2310.04447 Category cs.HC: Human-Computer Interaction Citations 22 Venue ACM Computing Surveys Last Checked 2 days ago
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.
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