Paper Title

INTEGRATING AI POWERED EDGE COMPUTING FOR SCALABLE AND EFFICIENT INTERNET OF THINGS APPLICATIONS

Authors

Kennedy Toole

Keywords

artificial intelligence
edge computing
iot
machine learning
real-time processing
ai-enabled iot
edge intelligence
latency reduction

Article Type

Research Article

Journal

Frontiers in Engineering and Technology

Issue

Volume : 4 | Issue : 1 | Page No : 1-7

Published On

March, 2023

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Abstract

The rapid expansion of the Internet of Things (IoT) has led to challenges in data processing, latency, and energy efficiency. Traditional cloud computing models struggle with real-time data processing due to network congestion and transmission delays. This paper explores the integration of Artificial Intelligence (AI) with Edge Computing to enhance scalability, efficiency, and real-time decision-making in IoT applications. AI-driven edge computing optimizes resource allocation, reduces latency, and enhances security by processing data closer to the source. The paper discusses recent advancements, challenges, and potential solutions in integrating AI with Edge Computing for IoT applications.