Impact Conflict Detection of IoT Services in Multi-resident Smart Homes

被引：0

作者：

Chaki, Dipankar ^{[1
]}

Bouguettaya, Athman ^{[1
]}

Lakhdari, Abdallah ^{[1
]}

机构：

[1] Univ Sydney, Sch Comp Sci, Sydney, NSW, Australia

来源：

2024 IEEE INTERNATIONAL CONFERENCE ON WEB SERVICES, ICWS 2024 | 2024年

基金：

澳大利亚研究理事会;

关键词：

IoT services; Multi-resident smart homes; Service impact assessment; Signal deviation strategy; Proximity technique; Conflict detection;

D O I：

10.1109/ICWS62655.2024.00109

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

We propose a novel impact conflict detection framework for IoT services in multi-resident smart homes. The proposed impact assessment model is developed based on the integral of a signal deviation strategy. We mine the residents' previous service usage records to design a robust preference estimation model. We design an impact conflict detection approach using temporal proximity and preferential proximity techniques. Experimental results on real-world datasets demonstrate the effectiveness of the proposed approach.

引用

页码：910 / 920

页数：11

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