Communication scheduling scheme based on big-data regression analysis and genetic algorithm for cyber-physical factory automation

Chao Chun Chen, Chao Lieh Chen, Che Yang Ciou, Jia Xuan Liu

研究成果: Conference contribution

7 引文 斯高帕斯(Scopus)

摘要

In the Industry 4.0 era, enterprises are eager to add intelligent and cyber-physical technologies to further enhance the factory automation. However, in cyber-physical factory environment, more than hundreds of or thousands of IoT devices could send data at the same time, which affect the completeness of data collection and also diminish the consequent decision correctness. In this work, we proposed a novel communication scheduling scheme based on big-data regression analysis and genetic algorithm for IoT-enabling devices to collect data in cyber-physical factory automation. The basic idea is to discover collection behaviors of IoT devices and apply the extracted behavior in finding optimal communication schedules. Our proposed scheme asks each IoT device moderately utilize the network bandwidth with their in-memory buffer for maximizing the global benefit, rather than only self benefit. Then we conducted experiments to verify and analyze the proposed scheme. The results of the experiments indicate that our proposed scheme successfully achieve the long-term data collection in scenarios of 200 IoT devices working together. This work provides developers useful experiences for creating manufacturing systems of cyber-physical factory automation.

原文English
主出版物標題2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
頁面2603-2608
頁數6
ISBN(電子)9781509018970
DOIs
出版狀態Published - 2017 二月 6
事件2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Budapest, Hungary
持續時間: 2016 十月 92016 十月 12

出版系列

名字2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings

Other

Other2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016
國家Hungary
城市Budapest
期間16-10-0916-10-12

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Control and Optimization
  • Human-Computer Interaction

指紋 深入研究「Communication scheduling scheme based on big-data regression analysis and genetic algorithm for cyber-physical factory automation」主題。共同形成了獨特的指紋。

引用此