Recent advances in Industrial Internet: insights and challenges

Abstract The Industrial Internet is a promising technology combining industrial systems with Internet connectivity to significantly improve the product efficiency and reduce production cost by cooperating with intelligent devices, in which the advanced computing, big data analysis and intelligent perception techniques have been involved. This paper comprehensively surveys the recent advances of the Industrial Internet, including reference architectures, key technologies, relative applications and future challenges. Reference architectures which have been proposed for different application scenarios and their corresponding characteristics are summarized. Key technologies, such as cloud computing, mobile edge computing, fog computing, which are classified according to different layers in the architecture, are presented to support a variety of applications in the Industrial Internet. Meanwhile, future challenges and research trends are discussed as well to promote further research of the Industrial Internet.

[1]  Martin Reisslein,et al.  Passive optical network (PON) supported networking , 2014, Opt. Switch. Netw..

[2]  Mohammed Moness,et al.  Hybrid controller for a software-defined architecture of industrial internet lab-scale process , 2017, 2017 12th International Conference on Computer Engineering and Systems (ICCES).

[3]  Heng Wang,et al.  An Efficient Channel Utilization Scheme for WIA-PA Industrial Wireless Networks Based on Link Skipping , 2016, 2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData).

[4]  Mugen Peng,et al.  Deep Reinforcement Learning-Based Mode Selection and Resource Management for Green Fog Radio Access Networks , 2018, IEEE Internet of Things Journal.

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

[6]  Yun Li,et al.  Joint Optimization of Radio and Virtual Machine Resources With Uncertain User Demands in Mobile Cloud Computing , 2018, IEEE Transactions on Multimedia.

[7]  Zhili Sun,et al.  Blockchain-Based Dynamic Key Management for Heterogeneous Intelligent Transportation Systems , 2017, IEEE Internet of Things Journal.

[8]  Jean-Pierre Thomesse,et al.  Fieldbus Technology in Industrial Automation , 2005, Proceedings of the IEEE.

[9]  Wenbo Wang,et al.  TD-SCDMA Evolution , 2010, IEEE Vehicular Technology Magazine.

[10]  M. Shamim Hossain,et al.  Cloud-assisted Industrial Internet of Things (IIoT) - Enabled framework for health monitoring , 2016, Comput. Networks.

[11]  Jiaheng Wang,et al.  Energy-Efficient Resource Assignment and Power Allocation in Heterogeneous Cloud Radio Access Networks , 2014, IEEE Transactions on Vehicular Technology.

[12]  Jiawei Han,et al.  A Distributed Game Methodology for Crowdsensing in Uncertain Wireless Scenario , 2020, IEEE Transactions on Mobile Computing.

[13]  Song Guo,et al.  Green Industrial Internet of Things Architecture: An Energy-Efficient Perspective , 2016, IEEE Communications Standards.

[14]  Yu Min Wang,et al.  Understanding the determinants of RFID adoption in the manufacturing industry , 2010 .

[15]  Hongyu Pei Breivold,et al.  Internet of Things for Industrial Automation -- Challenges and Technical Solutions , 2015, 2015 IEEE International Conference on Data Science and Data Intensive Systems.

[16]  P. Mell,et al.  The NIST Definition of Cloud Computing , 2011 .

[17]  Xuelong Li,et al.  Recent Advances in Cloud Radio Access Networks: System Architectures, Key Techniques, and Open Issues , 2016, IEEE Communications Surveys & Tutorials.

[18]  Mugen Peng,et al.  Recent Advances in Fog Radio Access Networks: Performance Analysis and Radio Resource Allocation , 2016, IEEE Access.

[19]  Gerhard P. Hancke,et al.  Industrial Wireless Sensor Networks: Challenges, Design Principles, and Technical Approaches , 2009, IEEE Transactions on Industrial Electronics.

[20]  Rick S. Blum,et al.  Wireless-Powered Cooperative Communications: Power-Splitting Relaying With Energy Accumulation , 2016, IEEE Journal on Selected Areas in Communications.

[21]  Robert G. Maunder,et al.  An Energy-Efficient Error Correction Scheme for IEEE 802.15.4 Wireless Sensor Networks , 2010, IEEE Transactions on Circuits and Systems II: Express Briefs.

[22]  Cheryl Ann Alexander,et al.  Big Data and Visualization: Methods, Challenges and Technology Progress , 2015 .

[23]  Mugen Peng,et al.  Fog-computing-based radio access networks: issues and challenges , 2015, IEEE Network.

[24]  Wenbo Wang,et al.  An Evolutionary Game for User Access Mode Selection in Fog Radio Access Networks , 2017, IEEE Access.

[25]  Mugen Peng,et al.  A Game Theory Approach for Joint Access Selection and Resource Allocation in UAV Assisted IoT Communication Networks , 2019, IEEE Internet of Things Journal.

[26]  Joaquín B. Ordieres Meré,et al.  Smart factories in Industry 4.0: A review of the concept and of energy management approached in production based on the Internet of Things paradigm , 2014, 2014 IEEE International Conference on Industrial Engineering and Engineering Management.

[27]  Shahid Mumtaz,et al.  When Internet of Things Meets Blockchain: Challenges in Distributed Consensus , 2019, IEEE Network.

[28]  Tao Huang,et al.  IEEE Access Special Section Editorial: Recent Advances in Software Defined Networking for 5G Networks , 2015, IEEE Access.

[29]  J. Marescaux,et al.  Transcontinental robot-assisted remote telesurgery: feasibility and potential applications. , 2002 .

[30]  Lars Nordström,et al.  Smart Grid Architecture Model use case management in a large European Smart Grid project , 2013, IEEE PES ISGT Europe 2013.

[31]  Wei Cao,et al.  Intelligent Offloading in Multi-Access Edge Computing: A State-of-the-Art Review and Framework , 2019, IEEE Communications Magazine.

[32]  Tarik Taleb,et al.  Orchestrating 5G Network Slices to Support Industrial Internet and to Shape Next-Generation Smart Factories , 2019, IEEE Network.

[33]  Lihui Wang,et al.  Current status and advancement of cyber-physical systems in manufacturing , 2015 .

[34]  Didier Stricker,et al.  Visual Computing as a Key Enabling Technology for Industrie 4.0 and Industrial Internet , 2015, IEEE Computer Graphics and Applications.

[35]  Xun Xu,et al.  A semantic web-based framework for service composition in a cloud manufacturing environment , 2017 .

[36]  Rui Zhang,et al.  Energy-Efficient UAV Communication With Trajectory Optimization , 2016, IEEE Transactions on Wireless Communications.

[37]  Paul Pop,et al.  Enabling Fog Computing for Industrial Automation Through Time-Sensitive Networking (TSN) , 2018, IEEE Communications Standards Magazine.

[38]  Kyung-Joon Park,et al.  Coexistence of Full-Duplex-Based IEEE 802.15.4 and IEEE 802.11 , 2018, IEEE Transactions on Industrial Informatics.

[39]  Yunhao Liu,et al.  Big Data: A Survey , 2014, Mob. Networks Appl..

[40]  Liu Chunli,et al.  Intelligent transportation based on the Internet of Things , 2012, 2012 2nd International Conference on Consumer Electronics, Communications and Networks (CECNet).

[41]  Haibin Zhang,et al.  Double Auction-Based Resource Allocation for Mobile Edge Computing in Industrial Internet of Things , 2018, IEEE Transactions on Industrial Informatics.

[42]  Liao Xiao-yong.  Research Summary on Transportation Cyber Physical Systems and the Challenging Technologies , 2013 .

[43]  Cui Li.  A Remote Health Care System Based on Wireless Sensor Networks , 2006 .

[44]  Wei Liu,et al.  Reliability and Temporality Optimization for Multiple Coexisting WirelessHART Networks in Industrial Environments , 2017, IEEE Transactions on Industrial Electronics.

[45]  Mikael Gidlund,et al.  Future research challenges in wireless sensor and actuator networks targeting industrial automation , 2011, 2011 9th IEEE International Conference on Industrial Informatics.

[46]  Jim Daily,et al.  Predictive Maintenance: How Big Data Analysis Can Improve Maintenance , 2017 .

[47]  Athanasios V. Vasilakos,et al.  Software-Defined Industrial Internet of Things in the Context of Industry 4.0 , 2016, IEEE Sensors Journal.