Abstract
We propose a novel conflict resolution framework for IoT services in multi-resident smart homes. The proposed framework employs a preference extraction model based on a temporal proximity strategy. We design a preference aggregation model using a matrix factorization-based approach (i.e., singular value decomposition). The concepts of current resident item matrix and ideal resident item matrix are introduced as key criteria to cater to the conflict resolution framework. Finally, a set of experiments on real-world datasets are conducted to show the effectiveness of the proposed approach.
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Notes
- 1.
R1 requests Ch3, R2 requests Ch2, R3 requests Ch5. In the \(\tilde{V}\) matrix, row1, row2, row3, and row4 represent Ch1, Ch2, Ch3, and Ch5, respectively.
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This research was partly made possible by DP160103595 and LE180100158 grants from the Australian Research Council. The statements made herein are solely the responsibility of the authors.
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Chaki, D., Bouguettaya, A. (2021). Dynamic Conflict Resolution of IoT Services in Smart Homes. In: Hacid, H., Kao, O., Mecella, M., Moha, N., Paik, Hy. (eds) Service-Oriented Computing. ICSOC 2021. Lecture Notes in Computer Science(), vol 13121. Springer, Cham. https://doi.org/10.1007/978-3-030-91431-8_23
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DOI: https://doi.org/10.1007/978-3-030-91431-8_23
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