Joint Sampling Time and Resource Allocation for Power Efficiency in Industrial Cyber-Physical Systems

Cyber-physical systems (CPSs) form from convergence of computation, networking, and control of physical processes. In this article, the focus is on an industrial CPS consisting of many control plants and rate constrained (RC) users communicating over a single-cell orthogonal frequency-division multi...

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Bibliographic Details
Published in:IEEE transactions on industrial informatics 2021-04, Vol.17 (4), p.2600-2610
Main Authors: Termehchi, Atefeh, Rasti, Mehdi
Format: Article
Language:English
Subjects:
5G mobile communication
Actuators
Cellular network
Communication
Constraints
cyber-physical system (CPS)
Cyber-physical systems
Decoupling
Delays
Energy consumption
Energy conversion efficiency
Frequency division multiple access
Mixed integer
Multiple objective analysis
Optimization
Power consumption
power consumption minimization
Power efficiency
Resource allocation
Resource management
Sampling
sampling time
Stability criteria
Subcarriers
Uplink
Uplinking
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Summary:Cyber-physical systems (CPSs) form from convergence of computation, networking, and control of physical processes. In this article, the focus is on an industrial CPS consisting of many control plants and rate constrained (RC) users communicating over a single-cell orthogonal frequency-division multiple access network. We formulate a multiobjective mixed integer nonlinear optimization problem that seeks to determine the next maximum acceptable sampling moment of control plants and to minimize the energy usage in the uplinks and downlinks while taking into account the dynamics and intended performance of control plants, the quality of service of RC users, and power and subcarrier constraints. To address this problem, a decoupling approach is taken, leading to a Pareto solution. Our simulations show that the proposed scheme decreases the total power consumption in the CPS to a significant degree.
ISSN:1551-3203
1941-0050
DOI:10.1109/TII.2020.2998796