Improving devices communication in Industry 4.0 wireless networks

Abstract Internet of Things (IoT) and cyberphysical system (CPS) technologies play huge roles in the context of Industry 4.0. These technologies introduce cognitive automation to implement the concept of intelligent production, leading to smart products and services. One of the technological challenges related to Industry 4.0 is to provide support to big data cloud based applications which demand QoS-enabled Internet connectivity for information gathering, exchange, and processing. In order to deal with this challenge, in this article, a QoS-aware cloud based solution is proposed by adapting a recently proposed seamless resources sharing architecture to the IoT scenario. The resulting solution aims at improving device to cloud communications considering the coexistence of different wireless networks technologies, particularly in the domain of Industry 4.0. Results are obtained via simulations of three QoS demanding industrial applications. The outcomes of the simulations show that both delay and jitter QoS metrics are kept below their specific thresholds in the context of VoIP applications used for distributed manipulators fine tuning control. In the case of video-based production control, the jitter was controlled to meet the application demands, and even the throughput for best-effort supervisory systems HTTP access is guaranteed.

[1]  Tao Chen,et al.  Cellular architecture enhancement for supporting the european licensed shared access concept , 2014, IEEE Wireless Communications.

[2]  Ian F. Akyildiz,et al.  A survey on spectrum management in cognitive radio networks , 2008, IEEE Communications Magazine.

[3]  Elena Simona Lohan,et al.  Robustness, Security and Privacy in Location-Based Services for Future IoT: A Survey , 2017, IEEE Access.

[4]  Jan Markendahl,et al.  Business Case and Technology Analysis for 5G Low Latency Applications , 2017, IEEE Access.

[5]  Sergey Andreev,et al.  Highly dynamic spectrum management within licensed shared access regulatory framework , 2015, IEEE Communications Magazine.

[6]  Sajal K. Das,et al.  Self-coexistence in cellular cognitive radio networks based on the IEEE 802.22 standard , 2013, IEEE Wireless Communications.

[7]  Jeffrey H. Reed,et al.  Spectrum access system for the citizen broadband radio service , 2015, IEEE Communications Magazine.

[8]  Sampath Rangarajan,et al.  Radio access network virtualization for future mobile carrier networks , 2013, IEEE Communications Magazine.

[9]  Zhibo Pang,et al.  Wireless High-Performance Communications: The Challenges and Opportunities of a New Target , 2017, IEEE Industrial Electronics Magazine.

[10]  Matteo Petracca,et al.  Industrial Internet of Things monitoring solution for advanced predictive maintenance applications , 2017, J. Ind. Inf. Integr..

[11]  Gerhard Fettweis,et al.  5G-Enabled Tactile Internet , 2016, IEEE Journal on Selected Areas in Communications.

[12]  Rainer Drath,et al.  Industrie 4.0: Hit or Hype? [Industry Forum] , 2014, IEEE Industrial Electronics Magazine.

[13]  Di Yuan,et al.  Analysis of Cell Load Coupling for LTE Network Planning and Optimization , 2012, IEEE Transactions on Wireless Communications.

[14]  Juergen Jasperneite,et al.  The Future of Industrial Communication: Automation Networks in the Era of the Internet of Things and Industry 4.0 , 2017, IEEE Industrial Electronics Magazine.

[15]  Jay Lee,et al.  A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems , 2015 .

[16]  Roland Rosen,et al.  About The Importance of Autonomy and Digital Twins for the Future of Manufacturing , 2015 .

[17]  Wensheng Zhang,et al.  Large-Scale Online Multitask Learning and Decision Making for Flexible Manufacturing , 2016, IEEE Transactions on Industrial Informatics.