Abstract
Along with the fourth industrial revolution, smart factories are receiving a great deal of attention. Large volumes of real-time data that are generated at high rates, especially in industries, are becoming increasingly important. Accordingly, the Industrial Internet of Things (IIoT), which connects, controls, and communicates with heterogeneous devices, is important to industrial sites and is now indispensable. To ensure the fairness and quality of the IIoT with limited network resources, the network connection of the IIoT needs to be constructed more intelligently. Many studies are being conducted on the efficient use of the resources that are imposed on IIoT devices. Therefore, in this paper, we propose a collaboration optimization method for heterogeneous devices that is based on cloud–fog–edge architecture. First, this paper proposes a knowledge distillation-based algorithm that can collaborate on cloud–fog–edge computing on the basis of distributed control. Second, to compensate for the shortcomings of knowledge distillation, we propose a framework for combining a soft-label-based alarm level. Finally, the method that is proposed in this paper was verified through several experiments, and it is shown that this method can effectively shorten the response time and solve the problems of existing IIoT networks, and that it can be efficiently applied to heterogeneous devices.
Highlights
The Internet of Things (IoT) refers to “things” that can be applied to various industries and service fields by sharing data with other objects, such as network-connected devices, wearable devices, mobile devices, smart home devices, and industrial equipment [1]
We propose a knowledge distillation-based algorithm to efficiently apply deeplearning-based algorithms that require a lot of computing resources for the Industrial Internet of Things (IIoT) system; 3
The knowledge distillation method, or the framework that has been proposed in previous studies, has several disadvantages that mean that it cannot be applied to heterogeneous equipment
Summary
The Internet of Things (IoT) refers to “things” that can be applied to various industries and service fields by sharing data with other objects, such as network-connected devices, wearable devices, mobile devices, smart home devices, and industrial equipment [1]. To solve the above problem, research was conducted to centrally offload the data between devices that are collected based on applying IoT network communication to cloud computing [5,6]. A cloud computer is a computer that is connected to the cloud, and that is not a local computer, and cloud computing refers to a technology that provides computer resources (network, server, database, etc.), such as data storage space and computing power, when necessary [7] This can reduce the cost of managing multiple devices. Fog computing has features such as on-demand serv4iocfe1s6, broadband network access, and the fast elasticity of cloud computing, and, at the same time, has the following features [28,29]: The first characteristic is that the frequency of the delay occurrence is low because it is located close to the edge
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
