Software-Defined Industrial Internet of Things in the Context of Industry 4.0

In recent years, there have been great advances in industrial Internet of Things (IIoT) and its related domains, such as industrial wireless networks (IWNs), big data, and cloud computing. These emerging technologies will bring great opportunities for promoting industrial upgrades and even allow the introduction of the fourth industrial revolution, namely, Industry 4.0. In the context of Industry 4.0, all kinds of intelligent equipment (e.g., industrial robots) supported by wired or wireless networks are widely adopted, and both real-time and delayed signals coexist. Therefore, based on the advancement of software-defined networks technology, we propose a new concept for industrial environments by introducing software-defined IIoT in order to make the network more flexible. In this paper, we analyze the IIoT architecture, including physical layer, IWNs, industrial cloud, and smart terminals, and describe the information interaction among different devices. Then, we propose a software-defined IIoT architecture to manage physical devices and provide an interface for information exchange. Subsequently, we discuss the prominent problems and possible solutions for software-defined IIoT. Finally, we select an intelligent manufacturing environment as an assessment test bed, and implement the basic experimental analysis. This paper will open a new research direction of IIoT and accelerate the implementation of Industry 4.0.

[1]  Jiafu Wan,et al.  Towards Real-Time Indoor Localization in Wireless Sensor Networks , 2012, 2012 IEEE 12th International Conference on Computer and Information Technology.

[2]  Min Chen Towards smart city: M2M communications with software agent intelligence , 2012, Multimedia Tools and Applications.

[3]  Fernando M. V. Ramos,et al.  Towards secure and dependable software-defined networks , 2013, HotSDN '13.

[4]  Nick Feamster,et al.  Improving network management with software defined networking , 2013, IEEE Commun. Mag..

[5]  Sakir Sezer,et al.  Queen ' s University Belfast-Research Portal Are We Ready for SDN ? Implementation Challenges for Software-Defined Networks , 2016 .

[6]  Qiang Liu,et al.  Enabling cyber-physical systems with machine-to-machine technologies , 2013, Int. J. Ad Hoc Ubiquitous Comput..

[7]  Raj Jain,et al.  Network virtualization and software defined networking for cloud computing: a survey , 2013, IEEE Communications Magazine.

[8]  Xiaofei Wang,et al.  Cloud-enabled wireless body area networks for pervasive healthcare , 2013, IEEE Network.

[9]  Victor C. M. Leung,et al.  CAP: community activity prediction based on big data analysis , 2014, IEEE Network.

[10]  Daqiang Zhang,et al.  Context-aware vehicular cyber-physical systems with cloud support: architecture, challenges, and solutions , 2014, IEEE Communications Magazine.

[11]  Qi Hao,et al.  A Survey on Software-Defined Network and OpenFlow: From Concept to Implementation , 2014, IEEE Communications Surveys & Tutorials.

[12]  Nalini Venkatasubramanian,et al.  A Software Defined Networking architecture for the Internet-of-Things , 2014, 2014 IEEE Network Operations and Management Symposium (NOMS).

[13]  Qiang Liu,et al.  Cloud Manufacturing Service System for Industrial-Cluster-Oriented Application , 2014 .

[14]  Byrav Ramamurthy,et al.  Network Innovation using OpenFlow: A Survey , 2014, IEEE Communications Surveys & Tutorials.

[15]  Athanasios V. Vasilakos,et al.  Data Mining for the Internet of Things: Literature Review and Challenges , 2015, Int. J. Distributed Sens. Networks.

[16]  Victor C. M. Leung,et al.  EMC: Emotion-aware mobile cloud computing in 5G , 2015, IEEE Network.

[17]  M. Shamim Hossain,et al.  Software defined healthcare networks , 2015, IEEE Wireless Communications.

[18]  Wenjian Wang,et al.  QoE-driven spectrum assignment for 5G wireless networks using SDR , 2015, IEEE Wireless Communications.

[19]  Mahmoud Al-Ayyoub,et al.  SDIoT: a software defined based internet of things framework , 2015, Journal of Ambient Intelligence and Humanized Computing.

[20]  Min Chen,et al.  Software-defined internet of things for smart urban sensing , 2015, IEEE Communications Magazine.

[21]  Min Chen,et al.  Software-Defined Network Function Virtualization: A Survey , 2015, IEEE Access.

[22]  Andrei V. Gurtov,et al.  Security in Software Defined Networks: A Survey , 2015, IEEE Communications Surveys & Tutorials.

[23]  Limei Peng,et al.  CADRE: Cloud-Assisted Drug REcommendation Service for Online Pharmacies , 2014, Mobile Networks and Applications.

[24]  Tarik Taleb,et al.  An Unlicensed Taxi Identification Model Based on Big Data Analysis , 2016, IEEE Transactions on Intelligent Transportation Systems.

[25]  Daqiang Zhang,et al.  Towards smart factory for industry 4.0: a self-organized multi-agent system with big data based feedback and coordination , 2016, Comput. Networks.

[26]  Kim-Kwang Raymond Choo,et al.  Security, Privacy, and Anonymity in Computation, Communication, and Storage , 2017, Lecture Notes in Computer Science.

[27]  Daqiang Zhang,et al.  Cloud-Integrated Cyber-Physical Systems for Complex Industrial Applications , 2015, Mobile Networks and Applications.

[28]  Athanasios V. Vasilakos,et al.  Security in Software-Defined Networking: Threats and Countermeasures , 2016, Mobile Networks and Applications.

[29]  Min Chen,et al.  Software-Defined Mobile Networks Security , 2016, Mobile Networks and Applications.

[30]  Jiafu Wan,et al.  Implementing Smart Factory of Industrie 4.0: An Outlook , 2016, Int. J. Distributed Sens. Networks.

[31]  Athanasios V. Vasilakos,et al.  A review of industrial wireless networks in the context of Industry 4.0 , 2015, Wireless Networks.

[32]  Min Chen,et al.  iDoctor: Personalized and professionalized medical recommendations based on hybrid matrix factorization , 2017, Future Gener. Comput. Syst..

[33]  Meikang Qiu,et al.  Health-CPS: Healthcare Cyber-Physical System Assisted by Cloud and Big Data , 2017, IEEE Systems Journal.