Power-efficient Sampling Time and Resource Allocation in Cyber Physical Systems with Industrial Application

TL;DR

This paper proposes a novel method for joint sampling time and resource allocation in industrial cyber-physical systems, optimizing power consumption while maintaining control and communication quality.

Contribution

It introduces a decomposition-based approach to solve a complex multi-objective optimization problem in CPS with industrial applications.

Findings

Effective power minimization achieved in simulations

Joint sampling and resource allocation improves system performance

Decomposition approach simplifies complex optimization problem

Abstract

Cyber Physical Systems (CPSs) are the result of convergence of computation, networking, and control of physical process. In this paper, we consider an industrial CPS consisting of several control plants and Rate Constrained (RC) users that communicate via a single cell OFDMA network. The problem of jointly determining the sampling instant of each control plant and allocating power and sub-carrier, in the CPS, is formulated. The problem is a multi objective optimization with aims of determining the next maximum allowable sampling instant of each control plant and minimizing the power consumption in uplink and downlink, considering the dynamics and desired performance of control plants, the quality of service requirement of RC users, power and sub-carrier constraints. To solve the multi objective optimization problem, a novel approach is proposed which decomposes the optimization problem into two smaller loosely coupled problems. we show the effectiveness of the proposed approach through simulation results.