Abstract
Recently, Industry 4.0 facilitates implementing several modular smart factories particularly the Cyber-Physical System. Due to enhanced growth in the Cyber-Physical System, privacy and security issues turned out to be the most significant factor all over the world. This paper demonstrates a complete co-design approach meant for integrating the cyberspace and physical space of a cyber-physical system. Various strategies and models regarding cyber and physical space are established in CPS. Apart from numerous co-design strategies, there are several parameters yet to be resolved and established. It becomes complicated and tricky to examine and explore the extremely best value since these parameters make up a very huge space. Therefore, a metaheuristic algorithm such as improved Fuzzy Harmonic Search Algorithm is proposed to optimize the control parameters so as to obtain a feasible solution. Also, this approach minimizes the cost function using Maximum Allowable Delay Bound (MADB) when subjected to several constraints such as the Sampling period, Horizon length, Routing graph, and scheduling table. Moreover the comparative analyses of various approaches such as Fuzzy Harmony Search (FHS) algorithm, Harmony Search (HS) algorithm, Grey Wolf Optimization Algorithm (GWO), Particle Swarm Optimization (PSO) algorithm, Differential Evolution (DE) algorithm as well as Fuzzy Genetic Algorithm (Fuzzy GA) are evaluated to examine the performances of the proposed approach. A testbed is organized for evaluation and exploration in a manufacturing atmosphere. The result reveals that this proposed approach provides enhanced control performance and communication reliability even under very harsh environmental habitat.
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