This repository contains the code for Gated Stem-branch DNN for dynamic sensor fusion corresponding to the following paper and its extension submitted to IEEE TMC 2025.
C. Singhal, Y. Wu, F. Malandrino, S. L. de Guevara Contreras, M. Levorato and C. F. Chiasserini, "Resource-Efficient Sensor Fusion via System-Wide Dynamic Gated Neural Networks," 2024 21st Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), Phoenix, AZ, USA, 2024, pp. 1-9,
doi: 10.1109/SECON64284.2024.10934843.
@INPROCEEDINGS{10934843,
author={Singhal, C. and Wu, Y. and Malandrino, F. and de Guevara Contreras, S. Ladron and Levorato, M. and Chiasserini, C. F.},
booktitle={2024 21st Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)},
title={Resource-Efficient Sensor Fusion via System-Wide Dynamic Gated Neural Networks},
year={2024},
volume={},
number={},
pages={1-9},
keywords={Wireless communication;Wireless sensor networks;Costs;Soft sensors;Heuristic algorithms;Neural networks;Logic gates;Sensor fusion;Dynamic scheduling;Time measurement;Network support to machine learning;Dynamic DNNs;Energy efficiency;Mobile-edge continuum},
doi={10.1109/SECON64284.2024.10934843}}