Significance of Internet-of-Things Edge and Fog Computing in Education Sector

Siddiqui, Shams Tabrez; Khan, Mohammad Rafeek; Khan, Zeba; Rana, Nadim; Khan, Haneef; Alam, Md Imran

doi:10.1109/icsca57840.2023.10087582

Cited by 7 publications

(1 citation statement)

References 47 publications

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“…Recognizing its duty, the Informatics Engineering Laboratory at Pontianak State Polytechnic (POLNEP) is working to integrate the latest technological breakthroughs into its energy management systems. The implementation of the Internet of Things (IoT) is leading the way in revolutionizing resource management in the education sector and promoting intelligence and environmental friendliness (S. T. Siddiqui et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

An IoT-Enabled Smart Energy Management System to Improve Energy Efficiency in University Laboratory

Wibowo,

Suheri,

Yugianus

2024

SinkrOn

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Efficient energy management remains a challenge in university laboratories. The aim of this study is to develop and deploy an Internet of Things (IoT) system that can automatically adjust electronic devices to improve the efficiency of power consumption in the university laboratory. An advanced system is urgently needed to support sustainable and effective energy management. A smart IoT-based energy management system can improve energy efficiency, reduce operating costs, and reduce negative environmental impacts. The system enables both human and automated control of lighting and air conditioning using scheduling and occupancy detection. This development-based research uses a product design methodology that includes both software and hardware. The software product in this research is an IoT platform website for managing IoT devices. The essential processes include defining project goals and requirements, designing a system architecture, creating a user experience design, developing and integrating components, and conducting tests. The system is successful in automatically monitoring and controlling electronic devices based on certain parameters such as scheduling and presence detection. The system meets most of the specified functional and non-functional requirements as demonstrated in experiments, although it is somewhat limited by hardware limitations. Ultimately, the system increases the energy efficiency of the laboratory and thus successfully fulfills the research goal. This innovative project could be a blueprint for other smart energy control efforts.

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Section: Introductionmentioning

confidence: 99%

An IoT-Enabled Smart Energy Management System to Improve Energy Efficiency in University Laboratory

Wibowo,

Suheri,

Yugianus

2024

SinkrOn

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A Review Load balancing algorithms in Fog Computing

Mahdi,

Hassan,

Abdulsaheb

2024

BIO Web Conf.

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With the rapid advance of the Internet of Things (IoT), technology has entered a new era. It is changing the way smart devices relate to such fields as healthcare, smart cities, and transport. However, such rapid expansion also challenges data processing, latency, and QoS. This paper aims to consider fog computing as a key solution for addressing these problems, with a special emphasis on the function of load balancing to improve the quality of service in IoT environments. In addition, we study the relationship between IoT devices and fog computing, highlighting why the latter acts as an intermediate layer that can not only reduce delays but also achieve efficient data processing by moving the computational resources closer to where they are needed. Its essence is to analyze various load balancing algorithms and their impact in fog computing environments on the performance of IoT applications. Static and dynamic load balancing strategies and algorithms have been tested in terms of their impact on throughput, energy efficiency, and overall system reliability. Ultimately, dynamic load balancing methods of this sort are better than static ones for managing load in fog computing scenarios since they are sensitive to changing workloads and changes in the system. The paper also discusses the state of the art of load balancing solutions, such as secure and sustainable techniques for Edge Data Centers (EDCs), It manages the allocation of resources for scheduling. We aim to provide a general overview of important recent developments in the literature while also pointing out limitation where improvements might be made. To this end, we set out to better understand and describe load balancing in fog computing and its importance for improving QoS. We thus hope that a better understanding of load balancing technologies can lead us towards more resilient and secure systems.

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