Edge Computing for Real-Time Inference in Internet of Things Environments: Challenges and Solutions

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Mawahib Sharafeldin Adam Boush
Rawia Ahmed Mohammed Ebrahim
Ragia Elsayed Eisawy Hussein
Samar Mansour Hassen

Abstract

The role that the real-time inference model plays in the Internet of Things environment and the applications that correspond to it are demonstrated by this project. In order to provide an all-encompassing picture of networking technologies, the section on the literature review has provided a description of the research that came before this project as well as an evaluation of its overall quality. In this section, the methodology component of the evolution of computing techniques in the environment of IOT is also examined. As a result, the technique of edge computing is utilised to produce many answers to the difficulties presented by the Internet of Things environment. In this section, the thematic analysis is carried out by making use of real-time applications and examples that are connected to networking applications. Last but not least, the project session comes to a close with the inclusion of research recommendations for the development of IOT and further work in this research.

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How to Cite
Boush, M. S. A. ., Rawia Ahmed Mohammed Ebrahim, Ragia Elsayed Eisawy Hussein, & Samar Mansour Hassen. (2023). Edge Computing for Real-Time Inference in Internet of Things Environments: Challenges and Solutions. Journal of Advanced Zoology, 44(S3), 1135–1143. https://doi.org/10.17762/jaz.v44iS-3.1203
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