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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2412.10243 |
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| _version_ | 1866915182724251648 |
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| author | Sheet, Yazen S. Thanoun, Mohammed Younis Alsharbaty, Firas S. |
| author_facet | Sheet, Yazen S. Thanoun, Mohammed Younis Alsharbaty, Firas S. |
| contents | The traditional industrial communication networks may not meet the requirements of the main smart factory applications together, such as Remote control and safety applications (which considered as strict real time applications) and augmented reality (which consumes wide bandwidth). This work suggests an enhanced communication network to serve an optimum case for the smart factory includes heavy data applications and real-time applications in one hand using the concepts of time sensitive networks (TSN) to address the limitation of real-time applications and the edge computing to assimilate the heavy data applications. The current work submits an experimental scenario to exploit H.265 compression method based on edge computing concept to mitigate consuming the capacity on overall network performance for augmented reality application. The results of enhanced communication network indicated that the latency of real time applications was less than 1msec while the packet data delivery of rest applications was 99.999%. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_10243 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Next-Generation Industrial Networks: Integrating Time-Sensitive Networking for Smart Factory Reliability Sheet, Yazen S. Thanoun, Mohammed Younis Alsharbaty, Firas S. Networking and Internet Architecture The traditional industrial communication networks may not meet the requirements of the main smart factory applications together, such as Remote control and safety applications (which considered as strict real time applications) and augmented reality (which consumes wide bandwidth). This work suggests an enhanced communication network to serve an optimum case for the smart factory includes heavy data applications and real-time applications in one hand using the concepts of time sensitive networks (TSN) to address the limitation of real-time applications and the edge computing to assimilate the heavy data applications. The current work submits an experimental scenario to exploit H.265 compression method based on edge computing concept to mitigate consuming the capacity on overall network performance for augmented reality application. The results of enhanced communication network indicated that the latency of real time applications was less than 1msec while the packet data delivery of rest applications was 99.999%. |
| title | Next-Generation Industrial Networks: Integrating Time-Sensitive Networking for Smart Factory Reliability |
| topic | Networking and Internet Architecture |
| url | https://arxiv.org/abs/2412.10243 |