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

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