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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Bibliografische Detailangaben

Hauptverfasser:	Dinesh Sahu, Nidhi, Shiv Prakash, Vivek Kumar Pandey, Tiansheng Yang, Rajkumar Singh Rathore, Lu Wang
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Nature Portfolio 2025-03-01
Schriftenreihe:	Scientific Reports
Schlagworte:	Edge computing Mobile augmented reality Energy optimization Task offloading Adaptive quality scaling Reinforcement learning
Online-Zugang:	https://doi.org/10.1038/s41598-025-93731-w
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