Edge Computing and Analytics for IoT Devices: Enhancing Real-Time Decision Making in Smart Environments

Kanagarla Krishna Prasanth Brahmaji

doi:10.36948/ijfmr.2024.v06i05.29826

Edge Computing and Analytics for IoT Devices: Enhancing Real-Time Decision Making in Smart Environments

Author(s)	Kanagarla Krishna Prasanth Brahmaji
Country	United States
Abstract	This article presents a comprehensive analysis of edge computing and analytics for Internet of Things (IoT) devices, addressing the growing need for real-time processing and reduced latency in IoT applications. We explore the evolution of IoT architectures, from cloud-centric models to edge-enabled systems, and examine the key components and data flows in edge computing environments. Through a detailed comparison of cloud and edge processing, we demonstrate significant latency reductions across various IoT scenarios, with improvements from hundreds of milliseconds to mere milliseconds. The article delves into crucial aspects of data management in edge computing, including local versus cloud processing trade-offs, data synchronization strategies, and privacy considerations. A case study of an edge analytics pipeline in a smart factory setting showcases practical implementations, revealing substantial improvements in anomaly detection speed, bandwidth utilization, and overall system efficiency. The case study achieved a 92.5% reduction in anomaly detection latency and an 85% decrease in bandwidth usage. Finally, we discuss ongoing challenges and future directions in edge computing, including scalability issues, standardization efforts, and the integration of emerging technologies such as 5G and AI accelerators. This article contributes to the growing body of knowledge on edge computing in IoT, offering insights into its transformative potential for creating more responsive and intelligent systems across diverse applications.
Keywords	Keywords: Edge Computing, IoT Analytics, Latency Reduction, Real-time Processing, Smart Factory Automation
Field	Computer
Published In	Volume 6, Issue 5, September-October 2024
Published On	2024-10-31
Cite This	Edge Computing and Analytics for IoT Devices: Enhancing Real-Time Decision Making in Smart Environments - Kanagarla Krishna Prasanth Brahmaji - IJFMR Volume 6, Issue 5, September-October 2024. DOI 10.36948/ijfmr.2024.v06i05.29826
DOI	https://doi.org/10.36948/ijfmr.2024.v06i05.29826
Short DOI	https://doi.org/g8p2q6

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Edge Computing and Analytics for IoT Devices: Enhancing Real-Time Decision Making in Smart Environments

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