Heterogeneous Network Access and Fusion in Smart Factory: A Survey

Author:

Xia Dan1,Jiang Chun1,Wan Jiafu1ORCID,Jin Jiong2ORCID,Leung Victor C. M.3ORCID,Martínez-García Miguel4

Affiliation:

1. Guangdong Provincial Key Laboratory of Technique and Equipment for Macromolecular Advanced Manufacturing, School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, Guangdong Province, China

2. School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Australia

3. School of Computer Science and Software Engineering, Shenzhen University, China and Department of Electrical and Computer Engineering, The University of British Columbia, Canada

4. Department of Aeronautical and Automotive Engineering, Loughborough University, UK

Abstract

With the continuous expansion of the Industrial Internet of Things (IIoT) and the increasing connectivity among the various intelligent devices or systems, the control of access and fusion in smart factory networks has significantly gained importance. However, the contradiction between the high Quality of Service (QoS) requirements of massive data and the limited network bandwidth and the heterogeneous network is becoming deeper and deeper. The heterogeneity of smart factory networks brings many challenges to unified access and fusion, real-time transmission, and centralized control and management. This article provides a survey on heterogeneous networks in smart factories. We first study and discuss the heterogeneity of smart factory networks, and then discuss the existing mainstream wired and wireless network technologies, as well as promising future technologies, including 5G, OLE for Process Control Unified Architecture (OPC UA), and Time-Sensitive Networking (TSN). In addition, we also analyze current heterogeneous network fusion architecture and discuss the enabling technologies of heterogeneous network fusion in view of the shortcoming of the current solutions. Finally, we conclude with a discussion of open challenges and future research directions towards the effective realization of the smart factory.

Funder

Guangdong Province Key Areas R & D Program

Natural Science Foundation of Guangdong Province, China

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science,Theoretical Computer Science

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