NAVIGATING THE DIGITAL MIST: UNRAVELLING IN FOG COMPUTING FOR EDUCATIONAL IOT
Keywords:
Fog Computing, Cloud Computing, Educational, Internet of ThingsAbstract
In the ever-evolving field of education technology, the integration of Fog Computing into the realm of Educational Internet of Things (IoT) has emerged as a promising paradigm, promising enhanced connectivity, storage and real time data processing. This paper embarks on how fog computing technology can help in enhancing the operations of Internet of Things to make it fir and suitable for usage in educational purposes by exploring different hurdles and complexities inherent in this technological convergence. By using this, sensor data processing takes place at the edge devices of the network so that it can reduce the network traffic across the network layers significantly, safeguard the sensitive educational data, optimize computing resources and bandwidth offering a unique perspective on the challenges faced in this dynamic landscape. By extracting insights from case studies and real-world examples, this research illuminates practical scenarios that vividly portray the challenges faced by educators, administrators and technologists alike. The paper goes beyond identification of different fields providing a roadmap for potential solutions incorporating technological advancements, best practices and policy considerations. This study aims at contribution to the ongoing discourse on the intersection of Fog Computing and Educational IoT, offering a unique perspective on the challenges & opportunities faced in this dynamic landscape. As I unravel the complexities within this digital mist, I pave the way for informed decision making, ensuring the seamless integration of Fog Computing technologies into educational IoT.
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