Control-Aware Scheduling Optimization of Industrial IoT

Pedro M. de Sant Ana, Nikolaj Marchenko, Petar Popovski, Beatriz Soret

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Abstract

In this paper, we elaborate on the frequency resource allocation problem of Wireless Networked Control Systems (WNCS). We consider a multi user wireless environment (e.g., factory) where the users are remote industrial Internet of Things (IIoT) devices competing for network resources and a centralized network base station needs to assign the resources to each device accordingly in order to keep the overall control system stability. We design a joint network and control scheduler solution, where we can estimate the degradation of the control system for a given network state and use this information to assign the frequency resource to each device. We show that the proposed solution outperforms traditional scheduling baselines, including genetic algorithms, assuming polynomial complexity in worst case scenario and generalizing for different control and network configurations.
OriginalsprogEngelsk
Titel2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)
Antal sider6
ForlagIEEE
Publikationsdato22 jun. 2022
Sider1-6
Artikelnummer9860519
ISBN (Trykt)978-1-6654-8244-8
DOI
StatusUdgivet - 22 jun. 2022
Begivenhed2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring) - Helsinki, Finland
Varighed: 19 jun. 202222 jun. 2022

Konference

Konference2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)
LokationHelsinki, Finland
Periode19/06/202222/06/2022
NavnI E E E V T S Vehicular Technology Conference. Proceedings
ISSN1550-2252

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