Fog computing-enabled smart seating systems: optimizing latency and network bandwidth efficiency in classrooms
<p>In modern educational settings, overcrowded classrooms challenge student engagement and learning efficiency. To address these issues, we propose a novel smart seating system powered by Fog Computing that leverages Wireless Sensor Networks (WSN), Internet of Things (IoT), Fog Computing (FC)...
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| Format: | Article |
| Language: | English |
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Academy Publishing Center
2025-06-01
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| Series: | Advances in Computing and Engineering |
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| Online Access: | http://apc.aast.edu/ojs/index.php/ACE/article/view/1335 |
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| _version_ | 1839635107714957312 |
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| author | Evans Obu Michael Asante Eric Opoku Osei |
| author_facet | Evans Obu Michael Asante Eric Opoku Osei |
| author_sort | Evans Obu |
| collection | DOAJ |
| description | <p>In modern educational settings, overcrowded classrooms challenge student engagement and learning efficiency. To address these issues, we propose a novel smart seating system powered by Fog Computing that leverages Wireless Sensor Networks (WSN), Internet of Things (IoT), Fog Computing (FC) and Cloud Computing (CC) technologies. Our work introduces the first fog computing-driven smart seating system for classroom settings. It demonstrates significant improvements in latency (3.29 ms in Fog-based vs. 108.69 ms in cloud-based systems), while maintaining comparable network efficiency. Our findings highlight fog computing’s potential to transform real-time classroom management. Using iFogSim, we conducted a comparative study between traditional cloud-centric architectures and our fog-based system across various classroom scenarios. Results demonstrate that the fog-based architecture delivers superior real-time responsiveness, making it particularly suitable for dynamic educational environments. This research provides both technical insights into performance improvements and practical implementation guidelines for educational institutions seeking to optimize classroom management systems.</p><p> </p><p><strong>Received on, 06 May 2025</strong></p><p><strong>Accepted on, 03 June 2025 </strong></p><p><strong>Published on, 19 June 2025</strong></p> |
| format | Article |
| id | doaj-art-024cbb1120c4485c92b6794d0ce0e3ef |
| institution | Matheson Library |
| issn | 2735-5977 2735-5985 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Academy Publishing Center |
| record_format | Article |
| series | Advances in Computing and Engineering |
| spelling | doaj-art-024cbb1120c4485c92b6794d0ce0e3ef2025-07-09T11:34:14ZengAcademy Publishing CenterAdvances in Computing and Engineering2735-59772735-59852025-06-0151354910.21622/ACE.2025.05.1.1335524Fog computing-enabled smart seating systems: optimizing latency and network bandwidth efficiency in classroomsEvans Obu0Michael Asante1Eric Opoku Osei2University of Mines and TechnologyKwame Nkrumah University of Science and Technology, GhanaKwame Nkrumah University of Science and Technology, Ghana<p>In modern educational settings, overcrowded classrooms challenge student engagement and learning efficiency. To address these issues, we propose a novel smart seating system powered by Fog Computing that leverages Wireless Sensor Networks (WSN), Internet of Things (IoT), Fog Computing (FC) and Cloud Computing (CC) technologies. Our work introduces the first fog computing-driven smart seating system for classroom settings. It demonstrates significant improvements in latency (3.29 ms in Fog-based vs. 108.69 ms in cloud-based systems), while maintaining comparable network efficiency. Our findings highlight fog computing’s potential to transform real-time classroom management. Using iFogSim, we conducted a comparative study between traditional cloud-centric architectures and our fog-based system across various classroom scenarios. Results demonstrate that the fog-based architecture delivers superior real-time responsiveness, making it particularly suitable for dynamic educational environments. This research provides both technical insights into performance improvements and practical implementation guidelines for educational institutions seeking to optimize classroom management systems.</p><p> </p><p><strong>Received on, 06 May 2025</strong></p><p><strong>Accepted on, 03 June 2025 </strong></p><p><strong>Published on, 19 June 2025</strong></p>http://apc.aast.edu/ojs/index.php/ACE/article/view/1335cloud computing (cc)fog computing (fc)ifogsimlatencynetwork efficiencysmart seating system |
| spellingShingle | Evans Obu Michael Asante Eric Opoku Osei Fog computing-enabled smart seating systems: optimizing latency and network bandwidth efficiency in classrooms Advances in Computing and Engineering cloud computing (cc) fog computing (fc) ifogsim latency network efficiency smart seating system |
| title | Fog computing-enabled smart seating systems: optimizing latency and network bandwidth efficiency in classrooms |
| title_full | Fog computing-enabled smart seating systems: optimizing latency and network bandwidth efficiency in classrooms |
| title_fullStr | Fog computing-enabled smart seating systems: optimizing latency and network bandwidth efficiency in classrooms |
| title_full_unstemmed | Fog computing-enabled smart seating systems: optimizing latency and network bandwidth efficiency in classrooms |
| title_short | Fog computing-enabled smart seating systems: optimizing latency and network bandwidth efficiency in classrooms |
| title_sort | fog computing enabled smart seating systems optimizing latency and network bandwidth efficiency in classrooms |
| topic | cloud computing (cc) fog computing (fc) ifogsim latency network efficiency smart seating system |
| url | http://apc.aast.edu/ojs/index.php/ACE/article/view/1335 |
| work_keys_str_mv | AT evansobu fogcomputingenabledsmartseatingsystemsoptimizinglatencyandnetworkbandwidthefficiencyinclassrooms AT michaelasante fogcomputingenabledsmartseatingsystemsoptimizinglatencyandnetworkbandwidthefficiencyinclassrooms AT ericopokuosei fogcomputingenabledsmartseatingsystemsoptimizinglatencyandnetworkbandwidthefficiencyinclassrooms |