Fog computing-enabled smart seating systems: optimizing latency and network bandwidth efficiency in classrooms

Evans Obu, Michael Asante, Eric Opoku Osei

Abstract


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.

 

Received on, 06 May 2025

Accepted on, 03 June 2025

Published on, 19 June 2025


Keywords


Cloud Computing (CC); Fog Computing (FC); iFogSim; Latency; Network efficiency; Smart Seating System

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References


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DOI: https://dx.doi.org/10.21622/ACE.2025.05.1.1335

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Copyright (c) 2025 Evans Obu, Michael Asante, Eric Opoku Osei

Advances in Computing and Engineering

E-ISSN: 2735-5985

P-ISSN: 2735-5977

 

Published by:

Academy Publishing Center (APC)

Arab Academy for Science, Technology and Maritime Transport (AASTMT)

Alexandria, Egypt

ace@aast.edu