Y. -L. Hsu, C. -F. Liu, S. Samarakoon, H. -Y. Wei and M. Bennis, "Age-Optimal Power Allocation in Industrial IoT: A Risk-Sensitive Federated Learning Approach," 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2021, pp. 1323-1328, doi: 10.1109/PIMRC50174.2021.9569536
Age-optimal power allocation in industrial IoT : a risk-sensitive federated learning approach
|Author:||Hsu, Yung-Lin1; Liu, Chen-Feng2; Samarakoon, Sumudu2;|
1Graduate Institute of Communication Engineering, National Taiwan University, Taiwan
2Centre for Wireless Communications, University of Oulu, Finland
|Online Access:||PDF Full Text (PDF, 0.6 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2022022821135
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2022-02-28
This 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.
IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications workshops
|Pages:||1323 - 1328|
32nd IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2021
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
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.
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