This special issue aims to bring out recent advances in cyber-physical systems (CPS) and its applications. CPS is a new emerging paradigm with widespread applications such as intelligent manufacturing, smart grid, smart manufacturing, etc. Usually, CPS applications are complex, and it is often difficult to build and manage in a real-time environment. Currently, energy management remains to be a critical issue, especially with automobile industries. To effectively deal with energy optimisation problems across smart scheduling systems, a Multiple Fuzzy Aggravated Energy Scheduling Approach (MFAESA) is proposed to incorporate fuzzy algorithms to deal with energy loss problems. This algorithm searches for the network idle time and optimises the energy usage of IoT efficiently assisted automobile industries. This increases performance measures and reduces system execution time. Further, this approach is highly accurate and protects energy loss across the IoT network in a more optimised way.
Supply chain management is one of the most prominent applications of CPS. This special issue also focuses on exploring the most accurate and fault-tolerant solutions for CPS assisted supply chain management systems. Devices, including target hardware, software, and operating environment, are more susceptible to vulnerable operations when functioning across the IoT systems. A linear approximation based fuzzy model is used to identify defective components in the supply chain management systems. The use of roughest approximation techniques eliminates the defects in the identification of faulty components and eliminates ambiguity measures. In addition, this approach helps to measure faults across the dynamic modules of the system.
Currently, information management across physical networks remains to be a significant issue. Especially with cybersecurity assisted IoT systems. This special issue presents a deep reinforcement learning-based solution to deal with enterprise information management and its integration with intelligent physical systems. It efficiently addresses data convergence problems with advanced, in-depth learning reinforcement strategies, which is most specifically designed for grid-based applications.
When dealing with logistics management, user privacy and security remains to be the most crucial concern, especially with the modern computing systems and technologies. Also, the advent of E-commerce applications has further created increased impacts on the users of our generation with weel-developed marketing strategies and social platforms. However, with the increased use of information systems, user’s security and privacy always remain to be a significant threat. Hence, this special issue addresses this concern with blockchain-enabled decentralised solutions in a more reasonable manner. This application efficiently handles data flow in a secure way across various sectors, such as logistics, transportation, automobiles, etc.
Next, this special issue addresses the problem of efficient routing and network optimisation across next-generation elastic optical networks. This work deals with routing and spectrum allocation processes through the use of improved Bellman Floyd Warshall shortest path routing and Enhanced Shuffled Frog Leaping algorithm (IBFW-ESFLA). The result shows that this work enhances the performance of the system with improved scalability and performance measures.
To deal with sensitive information management across the modern computing world, this special issue presents text emotional steganography method based on machine learning approaches. Initially, intelligent design methodologies are used to explore emotions in the textual content. Next, the similarity word pairs are computed using the similarity algorithm. Finally, the results are obtained with matrix encoded algorithms. Experimental results state that this approach offers better solutions than the existing approaches.
To conclude, this special issue explores advances in intelligent autonomous CPS systems and their applications from various perspectives with various solutions. Each aspect is described in detail with considerable simulation results and data analysis processes. Overall, this special issue offers meaningful solutions to the advanced CPS application both from the present and the future perspectives in a more dignified manner.
Disclosure statement
No potential conflict of interest was reported by the author.