Optimizing Edge Computing Architectures for Real-Time Data Processing in IoT Networks
Keywords:
Edge Computing, Real-Time Data Processing, IoT Networks, Latency Reduction, IoT Applications, Data Security, AI at the Edge, Network OptimizationAbstract
Purpose - The purpose of this paper is to explore and optimize edge computing architectures for real-time data processing within Internet of Things (IoT) networks. As IoT applications generate large volumes of data, edge computing plays a pivotal role in ensuring timely processing and minimizing latency, making real-time decision-making possible in many IoT use cases.
Design/Methodology/Approach- The paper adopts a systematic review of existing literature on edge computing architectures and IoT data processing. It focuses on current trends and methodologies in optimizing edge devices, network infrastructure, and data processing workflows to enable real-time, low-latency applications. The research synthesizes findings from various studies, providing insights into the challenges and solutions for enhancing the performance of IoT networks via edge computing.
Findings - The paper identifies several key strategies for optimizing edge computing architectures. Among the most prominent approaches are the use of decentralized processing, advanced data routing techniques, edge device optimization, and energy-efficient solutions. Furthermore, the integration of artificial intelligence (AI) at the edge is found to significantly improve decision-making and overall system efficiency.
Practical Implications - The findings have practical implications for the design and implementation of edge computing systems in IoT networks. By leveraging edge computing, organizations can reduce latency, improve scalability, and enhance data security. This paper highlights the importance of optimized edge architectures for industries such as healthcare, transportation, and smart cities.
Originality/Value - This paper presents a comprehensive analysis of edge computing optimizations in the context of IoT networks, with a focus on real-time data processing. It provides valuable insights into the current state of edge computing and outlines avenues for future research and technological advancements.
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Copyright (c) 2026 Santiago Paradorn, Jessica Stephen (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
