Age-optimal power allocation in industrial IoT : a risk-sensitive federated learning approach |
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Author: | Hsu, Yung-Lin1; Liu, Chen-Feng2; Samarakoon, Sumudu2; |
Organizations: |
1Graduate Institute of Communication Engineering, National Taiwan University, Taiwan 2Centre for Wireless Communications, University of Oulu, Finland |
Format: | article |
Version: | accepted version |
Access: | open |
Online Access: | PDF Full Text (PDF, 0.6 MB) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe2022022821135 |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers,
2021
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Publish Date: | 2022-02-28 |
Description: |
AbstractThis work studies a real-time environment monitoring scenario in the industrial Internet of things, where wireless sensors proactively collect environmental data and transmit it to the controller. We adopt the notion of risk-sensitivity in financial mathematics as the objective to jointly minimize the mean, variance, and other higher-order statistics of the network energy consumption subject to the constraints on the age of information (AoI) threshold violation probability and the AoI exceedances over a pre-defined threshold. We characterize the extreme AoI staleness using results in extreme value theory and propose a distributed power allocation approach by weaving in together principles of Lyapunov optimization and federated learning (FL). Simulation results demonstrate that the proposed FL-based distributed solution is on par with the centralized baseline while consuming 28.50% less system energy and outperforms the other baselines. see all
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Series: |
IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications workshops |
ISSN: | 2166-9570 |
ISSN-E: | 2166-9589 |
ISSN-L: | 2166-9570 |
ISBN: | 978-1-7281-7586-7 |
ISBN Print: | 978-1-7281-7587-4 |
Pages: | 1323 - 1328 |
DOI: | 10.1109/PIMRC50174.2021.9569536 |
OADOI: | https://oadoi.org/10.1109/PIMRC50174.2021.9569536 |
Host publication: |
32nd IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2021 |
Conference: |
IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications |
Type of Publication: |
A4 Article in conference proceedings |
Field of Science: |
213 Electronic, automation and communications engineering, electronics |
Subjects: | |
Funding: |
This work is funded by the Ministry of science and Technology (MOST) of Taiwan under the Graduate Students Study Abroad Program grant 109-2917-I-002-007 and supported by the CHIST-ERA LeadingEdge and CONNECT projects. |
Copyright information: |
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