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A Novel Resolution and Power Control Scheme for Energy-Efficient Mobile Augmented Reality Applications in Mobile Edge Computing
- Issue Date
- Jun-2020
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- Augmented reality; energy efficiency; mobile edge computing; object detection; optimization
- Citation
- IEEE Wireless Communications Letters, v.9, no.6, pp.750 - 754
- Journal Title
- IEEE Wireless Communications Letters
- Volume
- 9
- Number
- 6
- Start Page
- 750
- End Page
- 754
- ISSN
- 2162-2337
- Abstract
- This letter proposes a novel resolution and power control scheme for energy-efficient mobile augmented reality (MAR) services through computation offloading to mobile edge computing (MEC). For this purpose, analytical models for the energy consumption of a MAR device (MD), detection accuracy of MAR objects, and service latency are rigorously formulated. Considering their tradeoff in MAR with MEC, a theoretical framework for the computation offloading problem of the MD that jointly optimizes the transmission power and frame resolution is designed. The proposed scheme significantly reduces energy consumption by 73.64% with an accuracy loss of 1.6% while guaranteeing the required latency constraint. © 2012 IEEE.
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Related Researcher
- Lee, Joo Hyung
- College of IT Convergence (Department of Software)