Edge assisted energy optimization for mobile AR applications for enhanced battery life and performance

Edge assisted energy optimization for mobile AR applications for enhanced battery life and performance

Abstract Mobile Augmented Reality (AR) applications have been observed to put high demands on resource-limited, portable devices, thus using up much power besides experiencing high latency. Thus, to overcome these challenges, the following AI-driven edge-assisted computation offloading framework tha...

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Bibliographic Details
Main Authors: Dinesh Sahu, Nidhi, Shiv Prakash, Vivek Kumar Pandey, Tiansheng Yang, Rajkumar Singh Rathore, Lu Wang
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Edge computing
Mobile augmented reality
Energy optimization
Task offloading
Adaptive quality scaling
Reinforcement learning
Online Access:https://doi.org/10.1038/s41598-025-93731-w
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https://doi.org/10.1038/s41598-025-93731-w

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