Industrial IoT in 5G environment towards smart manufacturing
By Jiangfeng Cheng, Weihai Chen, Fei Tao, Chun-Liang Lin. Journal of Industrial Information Integration, 2018
403 citations recorded by the source corpus.
Abstract Smart manufacturing based on cyber-physical manufacturing systems (CPMS) has become the development trend and been widely recognized all over the world. Throughout the development trend of CPMS, one of the key issues is industrial Internet-of-Things (IIoT) with the characteristics of automation, smart connected, real-time monitoring, and collaborative control. Along with the permeation and applications of advanced technologies in manufacturing, massive amounts of data have been generated in the manufacturing process. However, the current 3th generation mobile network (3G), 4G and other communication technologies cannot meet the demands of CPMS for high data rate, high reliability, high coverage, low latency, etc., which hinders the development and implementation of CPMS. As a future advanced wireless transmission technology, 5G has a significant potential to promote IIoT and CPMS. Based on the architecture and characteristics of 5G wireless communication technology, this paper proposes the architecture of 5G-based IIoT, and describes the implementation methods of different advanced manufacturing scenarios and manufacturing technologies under the circumstances of three typical application modes of 5G, respectively, i.e., enhance mobile broadband (eMBB), massive machine type communication (mMTC), ultra-reliable and low latency communication (URLLC). Besides, the characteristics, key technologies and challenges of the 5G based IIoT are also analyzed.
Subfields: Computer Networks and Communications, Industrial and Manufacturing Engineering
View Paper: https://www.semanticscholar.org/paper/5757229351d0b60ae985bc84a8065e77a14d90f1
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In Computer Networks and Communications
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In Industrial and Manufacturing Engineering
Citations in the corpus
- Tackling Faults in the Industry 4.0 Era—A Survey of Machine-Learning Solutions and Key Aspects (2019, background): “Therefore, there exists a need for a symbiotic environment that focuses on the effective collaboration and cooperation between humans and machines for handling combined task elements, while communicating over the IIoT [92].”
- Characterising the Digital Twin: A systematic literature review (2020, neutral): “5 Fidelity [33] [80] [108] [24] [85] [8] [56] [88] [68] [112] [99] [78] [32] [111] [36] [7] [71] [63] [61] [73] [20] [67] [6] [4] [48] [55] [95] [16] [92] [98] [87] [9] [66] [110] [18] [89] [12]”
- CICIoT2023: A Real-Time Dataset and Benchmark for Large-Scale Attacks in IoT Environment (2023, background): “Industrial IoT (IIoT) has also brought different solutions, such as high reliability and low latency automated monitoring and collaborative control [18].”
- A Survey on Mobile Augmented Reality With 5G Mobile Edge Computing: Architectures, Applications, and Technical Aspects (2021, methodology): “With 5G systems allowing the integration of IoT into 5G system [150] and MEC enabled IoT [151], MAR operation can be made more informative and intelligent by utilizing the additional data.”
- A comprehensive review of digital twin — part 1: modeling and twinning enabling technologies (2022, background): “It is envisioned that 5G technology will enable deployment of more complex and expansive sensor networks to collect and transmit data in real-time for use in digital twins (Cheng et al., 2018).”
- Digital Twins: A Survey on Enabling Technologies, Challenges, Trends and Future Prospects (2022, background): “Communication technology is going to be the foundation of industrial IoT, hence in [143] authors have presented a detailed overview of 5G wireless transmissions and their application prospects according to cyber-physical-based manufacturing systems.”
- Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models (2020, methodology): “in order to better implement the DT concept, for example, [277] and [278] with examples of smart city and DTs.”