Demonstrating Wi-Fi Slicing Capabilities for Enhancing Performance of Industrial Applications
In the rapidly evolving Industry 4.0 landscape, the integration of industrial robots and Artificial Intelligence (AI) is revolutionizing the processes involved in storing and managing goods. While these advancements hold the promise of enhancing operational efficiency, they necessitate a robust and...
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2024
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| Online Access: | http://hdl.handle.net/11675/12158 http://www.scopus.com/inward/record.url?scp=85189210010&partnerID=8YFLogxK |
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| _version_ | 1870679735904763904 |
|---|---|
| author | Bostani, Ali |
| author2 | Jiang, Xingfeng Limani, Xhulio Marquez-Barja, Johann M. Miranda, Gilson Pan, Chun Shen, Xiaoman Slamnik-Krijestorac, Nina Zhang, Chi |
| author2_role | author author author author author author author author |
| author_facet | Bostani, Ali Jiang, Xingfeng Limani, Xhulio Marquez-Barja, Johann M. Miranda, Gilson Pan, Chun Shen, Xiaoman Slamnik-Krijestorac, Nina Zhang, Chi |
| author_role | author |
| dc.creator.none.fl_str_mv | Bostani, Ali Jiang, Xingfeng Limani, Xhulio Marquez-Barja, Johann M. Miranda, Gilson Pan, Chun Shen, Xiaoman Slamnik-Krijestorac, Nina Zhang, Chi |
| dc.date.none.fl_str_mv | 2024-03-18 2025-03-10T09:15:27Z 2025-03-10T09:15:27Z |
| dc.identifier.none.fl_str_mv | 10.1109/CCNC51664.2024.10454645 9798350304572 http://hdl.handle.net/11675/12158 http://www.scopus.com/inward/record.url?scp=85189210010&partnerID=8YFLogxK |
| dc.relation.none.fl_str_mv | Electrical and Computer Engineering |
| dc.title.none.fl_str_mv | Demonstrating Wi-Fi Slicing Capabilities for Enhancing Performance of Industrial Applications |
| dc.type.none.fl_str_mv | Conference Presentations/Proceedings Peer-reviewed info:eu-repo/semantics/publishedVersion |
| description | In the rapidly evolving Industry 4.0 landscape, the integration of industrial robots and Artificial Intelligence (AI) is revolutionizing the processes involved in storing and managing goods. While these advancements hold the promise of enhancing operational efficiency, they necessitate a robust and high-performing indoor network infrastructure. This demo paper introduces a dynamic network slicing mechanism tailored for Wi-Fi networks, capitalizing on readily available Commercial Off-The-Shelf (COTS) devices, and seamlessly incorporating In-Band Network Telemetry (INT) within a Software Defined Networking (SDN) framework. To effectively navigate the intricacies and uncertainties of network environments, we employ Fuzzy Logic to oversee queueing disciplines (qdisc), which directly influence air-time - the duration a device allocates to transmitting or receiving data over a wireless channel. Through a series of experimental demonstrations, we highlight the effectiveness of our proposed mechanism in maintaining stringent Quality of Service (QoS) standards even in conditions of network saturation. |
| id | AUKR_313c41b2d64477b49f3e0857cff27f69 |
| identifier_str_mv | 10.1109/CCNC51664.2024.10454645 9798350304572 |
| network_acronym_str | AUKR |
| network_name_str | AU Kuwait Rep |
| oai_identifier_str | oai:dspace.auk.edu.kw:11675/12158 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Demonstrating Wi-Fi Slicing Capabilities for Enhancing Performance of Industrial ApplicationsBostani, AliJiang, XingfengLimani, XhulioMarquez-Barja, Johann M.Miranda, GilsonPan, ChunShen, XiaomanSlamnik-Krijestorac, NinaZhang, ChiIn the rapidly evolving Industry 4.0 landscape, the integration of industrial robots and Artificial Intelligence (AI) is revolutionizing the processes involved in storing and managing goods. While these advancements hold the promise of enhancing operational efficiency, they necessitate a robust and high-performing indoor network infrastructure. This demo paper introduces a dynamic network slicing mechanism tailored for Wi-Fi networks, capitalizing on readily available Commercial Off-The-Shelf (COTS) devices, and seamlessly incorporating In-Band Network Telemetry (INT) within a Software Defined Networking (SDN) framework. To effectively navigate the intricacies and uncertainties of network environments, we employ Fuzzy Logic to oversee queueing disciplines (qdisc), which directly influence air-time - the duration a device allocates to transmitting or receiving data over a wireless channel. Through a series of experimental demonstrations, we highlight the effectiveness of our proposed mechanism in maintaining stringent Quality of Service (QoS) standards even in conditions of network saturation.2025-03-10T09:15:27Z2025-03-10T09:15:27Z2024-03-18Conference Presentations/ProceedingsPeer-reviewedinfo:eu-repo/semantics/publishedVersion10.1109/CCNC51664.2024.104546459798350304572http://hdl.handle.net/11675/12158http://www.scopus.com/inward/record.url?scp=85189210010&partnerID=8YFLogxKElectrical and Computer Engineeringoai:dspace.auk.edu.kw:11675/121582025-03-10T09:15:27Z |
| spellingShingle | Demonstrating Wi-Fi Slicing Capabilities for Enhancing Performance of Industrial Applications Bostani, Ali |
| status_str | publishedVersion |
| title | Demonstrating Wi-Fi Slicing Capabilities for Enhancing Performance of Industrial Applications |
| title_full | Demonstrating Wi-Fi Slicing Capabilities for Enhancing Performance of Industrial Applications |
| title_fullStr | Demonstrating Wi-Fi Slicing Capabilities for Enhancing Performance of Industrial Applications |
| title_full_unstemmed | Demonstrating Wi-Fi Slicing Capabilities for Enhancing Performance of Industrial Applications |
| title_short | Demonstrating Wi-Fi Slicing Capabilities for Enhancing Performance of Industrial Applications |
| title_sort | Demonstrating Wi-Fi Slicing Capabilities for Enhancing Performance of Industrial Applications |
| url | http://hdl.handle.net/11675/12158 http://www.scopus.com/inward/record.url?scp=85189210010&partnerID=8YFLogxK |