Song Liu
ABSTRACT
With the advancement of Industry 4.0, industrial cyber-physical systems (ICPS) are expected to realize the digitalization and intelligence in smart factories, and lots of sensors and actuators will be deployed and networked together. However, limited bandwith resource and massive data volume make it difficult to meet the real-time and reliability requirement in the industrial network. To address these problems, an efficient and reliable Input/Output (I/O) mapping protocol is proposed to provide the quality of service. First, we establish an I/O mapping communication model for smart manufacturing and automation scenarios, in which devices communicate with each other by simply writing and reading the output and input area. In order to ensure the reliability of transmission, we introduce an optimized hand-shake mechanism with a small hand-shake overhead. Finally, to realize the real-time transmission with coexistance of large-scale sensor data and control data, a bandwidth reservation method is designed to alleviate interference from each other. Extensive evaluation results show that our proposed protocol performs well in terms of packet-loss rate and transmission delay, and the intuitive I/O communication interface can improve the efficiency of software development.
- Haibo Zhou A, Yuanming Wu A, Yanqi Hu B, and Guangzhong Xie A. 2010. A novel stable selection and reliable transmission protocol for clustered heterogeneous wireless sensor networks - ScienceDirect. Computer Communications 33, 15 (2010), 1843–1849.Google Scholar
Digital Library
- Mohammad Aazam and Eui-Nam Huh. [n. d.]. Fog Computing and Smart Gateway Based Communication for Cloud of Things. In 2014 International Conference on Future Internet of Things and Cloud (Barcelona, Spain, 2014-08). IEEE, 464–470. https://doi.org/10.1109/FiCloud.2014.83Google ScholarDigital Library
- Giuseppe Aceto, Valerio Persico, and Antonio Pescape. 2019. A survey on Information and Communication Technologies for Industry 4.0: state of the art, taxonomies, perspectives, and challenges. IEEE Communications Surveys & Tutorials 21, 99 (2019), 3467–3501.Google ScholarDigital Library
- A. Bobbio, S. Bologna, E. Ciancamerla, G. Franceschinis, and L. Portinale. 2001. Comparison of methodologies for the safety and dependability assessment of an industrial programmable logic controller. (2001).Google Scholar
- Fotis Foukalas and Athanasios Tziouvaras. [n. d.]. Edge Artificial Intelligence for Industrial Internet of Things Applications: An Industrial Edge Intelligence Solution. 15, 2 ([n. d.]), 28–36. https://doi.org/10.1109/MIE.2020.3026837Google ScholarCross Ref
- B. Huyck, H. J. Ferreau, M. Diehl, J De Brabanter, Jfm Van Impe, B De Moor, and F. Logist. 2012. Towards Online Model Predictive Control on a Programmable Logic Controller: Practical Considerations. Mathematical Problems in Engineering,2012,(2012-11-27) 2012 (2012), 1035–1052.Google Scholar
- J. Kliewer and R. Thobaben. 2002. Combining FEC and optimal soft-input source decoding for the reliable transmission of correlated variable-length encoded signals. In Proceedings DCC 2002. Data Compression Conference.Google Scholar
- S. Lee, K. C. Lee, H. L. Man, and F. Harashima. 2002. Integration of mobile vehicles for automated material handling using profibus and IEEE 802.11 networks. IEEE Transactions on Industrial Electronics3 (2002), 49.Google Scholar
- B. Mishra, B. Mishra, and A. Kertesz. 2021. Stress-Testing MQTT Brokers: A Comparative Analysis of Performance Measurements. Energies 14 (2021).Google Scholar
- MohammedNabil and S. A. Majed. 2021. Programmable logic controller based lithium-ion battery management system for accurate state of charge estimation. (2021).Google Scholar
- Yuhuai Peng, Alireza Jolfaei, Qiaozhi Hua, Wen-Long Shang, and Keping Yu. [n. d.]. Real-Time Transmission Optimization for Edge Computing in Industrial Cyber-Physical Systems. 18, 12 ([n. d.]), 9292–9301. https://doi.org/10.1109/TII.2022.3181199Google ScholarCross Ref
- T. Sehlinger and G. Spiegel. 2007. EtherCAT: Implementing Deterministic Control over Ethernet Hardware. Rtc Magazine4 (2007).Google Scholar
- Emiliano Sisinni, Abusayeed Saifullah, Song Han, Ulf Jennehag, and Mikael Gidlund. [n. d.]. Industrial Internet of Things: Challenges, Opportunities, and Directions. 14, 11 ([n. d.]), 4724–4734. https://doi.org/10.1109/TII.2018.2852491Google ScholarCross Ref
- Ali Hassan Sodhro, Sandeep Pirbhulal, and Victor Hugo C. de Albuquerque. [n. d.]. Artificial Intelligence-Driven Mechanism for Edge Computing-Based Industrial Applications. 15, 7 ([n. d.]), 4235–4243. https://doi.org/10.1109/TII.2019.2902878Google ScholarCross Ref
- Iof Standardization. 2003. Controller Area Network (CAN)-Part 1 : Data link layer and physical signaling. ISO 11898-1 : 2003 (2003).Google Scholar
- Y. F. Wang, Y. Dai, D. H. Liu, and H. W. Kong. 2010. Research and application of reliable data transmission technique based on UDP. Computer Engineering and Applications 46, 3 (2010), 105–108.Google Scholar
- Quan Xin, Guanlin Wu, Wenqi Fang, Jiang Cao, and Yang Ping. [n. d.]. Opportunities for Reinforcement Learning in Industrial Automation. In 2021 7th International Conference on Big Data and Information Analytics (BigDIA) (Chongqing, China, 2021-10-29). IEEE, 496–504. https://doi.org/10.1109/BigDIA53151.2021.9619637Google ScholarCross Ref
- D. Xu, W. Jiao, Z. Yin, B. Wu, Y. Peng, X. Chen, F. Chen, and D. Fang. 2018. Enabling robust and reliable transmission in Internet of Things with multiple gateways. Computer networks 146, DEC.9 (2018), 183–199.Google Scholar
- L. I. Yan-Ling and Y. Jiang. 2005. TCP congestion control:a survey. China Measurement Technology (2005).Google Scholar
- Wenjin Yu, Tharam Dillon, Fahed Mostafa, Wenny Rahayu, and Yuehua Liu. [n. d.]. Implementation of Industrial Cyber Physical System: Challenges and Solutions. In 2019 IEEE International Conference on Industrial Cyber Physical Systems (ICPS) (Taipei, Taiwan, 2019-05). IEEE, 173–178. https://doi.org/10.1109/ICPHYS.2019.8780271Google ScholarCross Ref
- Yinfen Zhang, Wenfeng Sun, and Yuntao Shi. [n. d.]. Architecture and Implementation of Industrial Internet of Things (IIoT) Gateway. In 2020 IEEE 2nd International Conference on Civil Aviation Safety and Information Technology (ICCASIT (Weihai, China, 2020-10-14). IEEE, 114–120. https://doi.org/10.1109/ICCASIT50869.2020.9368773Google ScholarCross Ref
Index Terms
- An Efficient and Reliable I/O Mapping Protocol for Industrial Cyber-Physical Systems
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