Time-Constrained Ensemble Sensing With Heterogeneous IoT Devices in Intelligent Transportation Systems

Feng, Xingyu and Luo, Chengwen and Wei, Bo and Zhang, Jin and Li, Jianqiang and Wang, Huihui and Xu, Weitao and Chan, Mun Choon and Leung, Victor C. M. (2023) Time-Constrained Ensemble Sensing With Heterogeneous IoT Devices in Intelligent Transportation Systems. IEEE Transactions on Intelligent Transportation Systems, 24 (11). pp. 1-12. ISSN 1524-9050

[thumbnail of T_ITS___Final]
Text (T_ITS___Final)
T_ITS_Final.pdf - Accepted Version
Available under License Creative Commons Attribution-NonCommercial.

Download (3MB)


Recently we have witnessed the rise of Artificial Intelligence of Things (AIoT) and the shift of sensing paradigm from cloud-centric to the edge-centric, which effectively improves the sensing capability of intelligence transportation systems. To improve the real-time sensing performance, in this work we propose an ensemble sensing based scheme to solve the time-constraint synchronized inference problem and achieve robust inference with heterogeneous IoT devices in intelligence transportation systems. We design and implement Ensen, which incorporates various novel techniques such as customized DNN model design, KD-based model training, and dynamic deep ensemble management, etc., to achieve improved accuracy and maximize the computational resource usage of the whole sensing group. Extensive evaluations on different types of common IoT devices have shown that Ensen achieves a robust performance and can be easily extended to different types of convolutional neural networks.

Item Type:
Journal Article
Journal or Publication Title:
IEEE Transactions on Intelligent Transportation Systems
Additional Information:
©2022 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Uncontrolled Keywords:
?? computer science applicationsmechanical engineeringautomotive engineeringcomputer science applicationsautomotive engineeringmechanical engineering ??
ID Code:
Deposited By:
Deposited On:
10 Jun 2022 15:35
Last Modified:
13 May 2024 00:27