Software Defined Networks in Industrial Automation
Trends such as the Industrial Internet of Things and Industry 4.0 have increased the need to use new and innovative network technologies in industrial automation. The growth of industrial automation communications is an outcome of the shift to harness the productivity and efficiency of manufacturing...
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2018-08-01
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doaj-720121dc12ef494a9ae812b9db42f4772020-11-25T01:28:16ZengMDPI AGJournal of Sensor and Actuator Networks2224-27082018-08-01733310.3390/jsan7030033jsan7030033Software Defined Networks in Industrial AutomationKhandakar Ahmed0Jan O. Blech1Mark A. Gregory2Heinz W. Schmidt3Discipline of IT, College of Engineering & Science, Victoria University, Footscray Park Campus, Melbourne, VIC 3011, AustraliaSchool of Science (Computer Science), RMIT University, Melbourne, VIC 3001, AustraliaSchool of Engineering (Electrical and Computer Systems), RMIT University, Melbourne, VIC 3001, AustraliaSchool of Science (Computer Science), RMIT University, Melbourne, VIC 3001, AustraliaTrends such as the Industrial Internet of Things and Industry 4.0 have increased the need to use new and innovative network technologies in industrial automation. The growth of industrial automation communications is an outcome of the shift to harness the productivity and efficiency of manufacturing and process automation with a minimum of human intervention. Due to the ongoing evolution of industrial networks from Fieldbus technologies to Ethernet, a new opportunity has emerged to harness the benefits of Software Defined Networking (SDN). In this paper, we provide a brief overview of SDN in the industrial automation domain and propose a network architecture called the Software Defined Industrial Automation Network (SDIAN), with the objective of improving network scalability and efficiency. To match the specific considerations and requirements of having a deterministic system in an industrial network, we propose two solutions for flow creation: the Pro-active Flow Installation Scheme and the Hybrid Flow Installation Scheme. We analytically quantify the proposed solutions that alleviate the overhead incurred from the flow setup. The analytical model is verified using Monte Carlo simulations. We also evaluate the SDIAN architecture and analyze the network performance of the modified topology using the Mininet emulator. We further list and motivate SDIAN features and report on an experimental food processing plant demonstration featuring Raspberry Pi as a software-defined controller instead of traditional proprietary Programmable Logic Controllers. Our demonstration exemplifies the characteristics of SDIAN.http://www.mdpi.com/2224-2708/7/3/33controllerindustry networkOpen FlowSoftware Defined NetworkingProgrammable Logic Controller |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Khandakar Ahmed Jan O. Blech Mark A. Gregory Heinz W. Schmidt |
spellingShingle |
Khandakar Ahmed Jan O. Blech Mark A. Gregory Heinz W. Schmidt Software Defined Networks in Industrial Automation Journal of Sensor and Actuator Networks controller industry network Open Flow Software Defined Networking Programmable Logic Controller |
author_facet |
Khandakar Ahmed Jan O. Blech Mark A. Gregory Heinz W. Schmidt |
author_sort |
Khandakar Ahmed |
title |
Software Defined Networks in Industrial Automation |
title_short |
Software Defined Networks in Industrial Automation |
title_full |
Software Defined Networks in Industrial Automation |
title_fullStr |
Software Defined Networks in Industrial Automation |
title_full_unstemmed |
Software Defined Networks in Industrial Automation |
title_sort |
software defined networks in industrial automation |
publisher |
MDPI AG |
series |
Journal of Sensor and Actuator Networks |
issn |
2224-2708 |
publishDate |
2018-08-01 |
description |
Trends such as the Industrial Internet of Things and Industry 4.0 have increased the need to use new and innovative network technologies in industrial automation. The growth of industrial automation communications is an outcome of the shift to harness the productivity and efficiency of manufacturing and process automation with a minimum of human intervention. Due to the ongoing evolution of industrial networks from Fieldbus technologies to Ethernet, a new opportunity has emerged to harness the benefits of Software Defined Networking (SDN). In this paper, we provide a brief overview of SDN in the industrial automation domain and propose a network architecture called the Software Defined Industrial Automation Network (SDIAN), with the objective of improving network scalability and efficiency. To match the specific considerations and requirements of having a deterministic system in an industrial network, we propose two solutions for flow creation: the Pro-active Flow Installation Scheme and the Hybrid Flow Installation Scheme. We analytically quantify the proposed solutions that alleviate the overhead incurred from the flow setup. The analytical model is verified using Monte Carlo simulations. We also evaluate the SDIAN architecture and analyze the network performance of the modified topology using the Mininet emulator. We further list and motivate SDIAN features and report on an experimental food processing plant demonstration featuring Raspberry Pi as a software-defined controller instead of traditional proprietary Programmable Logic Controllers. Our demonstration exemplifies the characteristics of SDIAN. |
topic |
controller industry network Open Flow Software Defined Networking Programmable Logic Controller |
url |
http://www.mdpi.com/2224-2708/7/3/33 |
work_keys_str_mv |
AT khandakarahmed softwaredefinednetworksinindustrialautomation AT janoblech softwaredefinednetworksinindustrialautomation AT markagregory softwaredefinednetworksinindustrialautomation AT heinzwschmidt softwaredefinednetworksinindustrialautomation |
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1725102667588435968 |