Conference proceeding
DeepHeteroIoT: Deep Local and Global Learning over Heterogeneous IoT Sensor Data
Mobile and Ubiquitous Systems: Computing, Networking and Services: 20th EAI International Conference, MobiQuitous 2023, Melbourne, VIC, Australia, November 14–17, 2023, Proceedings, Part I, Vol.593, pp.119-135
EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking, and Services (MobiQuitous), 20th (Melbourne, Australia, 14/11/2023 - 17/09/2024)
19/07/2024
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Abstract
Internet of Things (IoT) sensor data or readings evince variations in timestamp range, sampling frequency, geographical location, unit of measurement, etc. Such presented sequence data heterogeneity makes it difficult for traditional time series classification algorithms to perform well. Therefore, addressing the heterogeneity challenge demands learning not only the sub-patterns (local features) but also the overall pattern (global feature). To address the challenge of classifying heterogeneous IoT sensor data (e.g., categorizing sensor data types like temperature and humidity), we propose a novel deep learning model that incorporates both Convolutional Neural Network and Bi-directional Gated Recurrent Unit to learn local and global features respectively, in an end-to-end manner. Through rigorous experimentation on heterogeneous IoT sensor datasets, we validate the effectiveness of our proposed model, which outperforms recent state-of-the-art classification methods as well as several machine learning and deep learning baselines. In particular, the model achieves an average absolute improvement of 3.37% in Accuracy and 2.85% in F1-Score across datasets.
Details
- Title
- DeepHeteroIoT: Deep Local and Global Learning over Heterogeneous IoT Sensor Data
- Creators
- Muhammad Sakib Khan Inan (Author) - Australian Catholic UniversityKewen Liao (Author) - Australian Catholic UniversityHaifeng Shen (Author) - Australian Catholic UniversityPrem Prakash Jayaraman (Contributor) - Swinburne University of TechnologyDimitrios Georgakopoulos (Contributor) - Swinburne University of TechnologyMing Jian Tang (Contributor) - Atlassian (Sydney, Australia)
- Publication Details
- Mobile and Ubiquitous Systems: Computing, Networking and Services: 20th EAI International Conference, MobiQuitous 2023, Melbourne, VIC, Australia, November 14–17, 2023, Proceedings, Part I, Vol.593, pp.119-135
- Conference
- EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking, and Services (MobiQuitous), 20th (Melbourne, Australia, 14/11/2023 - 17/09/2024)
- Publisher
- Springer
- Grant note
- This research was funded by the Australian Research Council (ARC) under ARC Discovery Project DP220101420 and partially supported by the Australian Government Research Training Program (RTP) Allowance Scholarship (Relocation).
- Identifiers
- 991013222313002368
- Copyright
- © 2024 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.
- Academic Unit
- Faculty of Science and Engineering
- Language
- English
- Resource Type
- Conference proceeding