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Multi-path selection access algorithm and design of intelligent perception network model for blockchain-enabled CPSs

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Published:07 February 2022Publication History

ABSTRACT

Blockchain-enabled cyber-physical systems (CPSs) are developed to provide the mass of Intelligent Object Terminal Equipment (IOTE). However, they cannot deal with the real-time control problem of perception. Hence, this paper studies the multi-type access methods and multi-path selective access algorithm of intelligent end devices in the local area network. The algorithm is proposed based on the multi-terminal collaboration technology. This network model provides a basis for realizing real-time awareness and optimal resource scheduling of IOTE. The model effectively alleviates the problem of state loss of IOTEs in the current local area. The experimental results show that the network model can effectively control the location and state of the IOTE in real time.

References

  1. FELDMANN A. 2007. Internet clean-slate design: what and why. ACM SIGCOMM Computer Communication Review 37, 3 (2007), 59--64.Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Yang J I, Ping Z, Zheng H, and et al. 2006. Towards Mobile Ubiquitous Service Environment. Wireless Personal Communications 38, 1 (2006), 67--78.Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Kaye J and Dourish P. 2014. Special issue on science fiction and ubiquitous computing. Personal and Ubiquitous Computing 18, 4 (2014), 765--766.Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Yu J, Wang M, Liu J, and et al. 2021. Service management mechanisms in the internet of things: an organized and thorough study. Journal of Ambient Intelligence and Humanized Computing 6 (2021).Google ScholarGoogle Scholar
  5. Ding K, Chan F T S, Zhang X, and et al. 2019. Defining a Digital Twin-based Cyber-Physical Production System for autonomous manufacturing in smart shop floors. International Journal of Production Research (2019), 1--23.Google ScholarGoogle Scholar
  6. G Kortuem. 2010. Smart Objects as Building Blocks for the Internet of Things. IEEE internet computing (2010).Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Chen H M and Cui L. 2016. Design and Model Checking of Service Oriented Software Architecture for Internet of Things:A Survey. Chinese Journal of Computers (2016).Google ScholarGoogle Scholar
  8. Li C M, Wang R, and Huang L. 2014. The Key Technology and Application of the Internet of Things. Applied Mechanics Materials (2014), 644--650.Google ScholarGoogle Scholar
  9. Zong Ping, Zhu Hongbo, Huang Gang, and Xu Jianzhen. 2010. Research and design of smart campus based on Internet of Things. Journal of Nanjing University of Posts and Telecommunications (NATURAL SCIENCE EDITION) 30, 04 (2010), 15--19 + 51.Google ScholarGoogle Scholar
  10. Sahrish Khan Tayyaba, Munam Ali Shah, Naila Sher Afzal Khan, Yousra Asim, Wajeeha Naeem, and Muhammad Kamran. 2016. Software-Defined Networks (SDNs) and Internet of Things (IoTs): A Qualitative Prediction for 2020. International Journal of Advanced Computer Science and Applications (IJACSA) 7, 11 (2016).Google ScholarGoogle Scholar
  11. Wei W, De S, Cassar G, and et al. 2015. An experimental study on geospatial indexing for sensor service discovery. Expert Systems with Applications An International Journal 42, 7 (2015), 3528--3538.Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. ZOU Xiang-yang, ZOU He-hui, and LIU Rong. 2015. Research of Ammunition Depot Real-time Monitoring System Based on IoT and 3D Visualization Technology. Fire Control Command Control 40, 1 (2015), 30--33.Google ScholarGoogle Scholar
  13. Hu Y, Li D, Sun P, and et al. 2020. Polymorphic smart network: An open, flexible and universal architecture for future heterogeneous networks. IEEE Transactions on Network Science and Engineering 99 (2020), 1.Google ScholarGoogle Scholar

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  1. Multi-path selection access algorithm and design of intelligent perception network model for blockchain-enabled CPSs

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        • Published in

          cover image ACM Conferences
          UCC '21: Proceedings of the 14th IEEE/ACM International Conference on Utility and Cloud Computing Companion
          December 2021
          256 pages
          ISBN:9781450391634
          DOI:10.1145/3492323

          Copyright © 2021 Owner/Author

          This work is licensed under a Creative Commons Attribution International 4.0 License.

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          Association for Computing Machinery

          New York, NY, United States

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          • Published: 7 February 2022

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