Cluster Computing, volume 26, issue 1, pages 789-806
Energy efficient offloading scheme for MEC-based augmented reality system
1
Department of Electronics and Communications Engineering, Zagazig University, Zagazig, Egypt
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3
LaSTI Laboratory, ENSAK, Sultan Moulay Slimane University, Beni-Mellal, Morocco
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5
Department of Mathematics and Computer Science, Faculty of Science, Menoufia University, Shebin El-Koom, Egypt
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Publication type: Journal Article
Publication date: 2023-01-09
Computer Networks and Communications
Software
Abstract
Augmented reality (AR) is a recent communication paradigm that is considered one of the primary functions of the fifth-generation cellular system (5G). AR is one of the ultra-reliable low latency communications since it requires a total delay of about 5 ms for AR applications. Since mobile devices are battery-operated and have many limitations in computing resources, i.e., processing, storage, and energy, computing tasks associated with mobile AR applications have to be offloaded to nearby devices with sufficient computing resources. To this end, this paper provides a system structure for mobile AR and web-based AR applications; based on the modified multi-level mobile edge computing system (MM-MEC). Furthermore, the required offloading algorithms for managing data offloading from mobile devices to edge servers are introduced. The algorithms are latency and energy-aware, as the selection of the executing device for the AR computing tasks achieves the highest energy and latency efficiency. The proposed structure and offloading techniques have been validated through simulation processes. The developed framework and the proposed offloading schemes have been simulated over a reliable environment for various simulation The suggested system and its offloading methods were simulated in a dependable environment for a number of simulation situations.
Citations by journals
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1
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Drones
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Drones
1 publication, 50%
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Concurrency Computation Practice and Experience
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Concurrency Computation Practice and Experience
1 publication, 50%
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1
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Citations by publishers
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1
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Multidisciplinary Digital Publishing Institute (MDPI)
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Multidisciplinary Digital Publishing Institute (MDPI)
1 publication, 50%
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Wiley
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Wiley
1 publication, 50%
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1
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Ateya A. A. et al. Energy efficient offloading scheme for MEC-based augmented reality system // Cluster Computing. 2023. Vol. 26. No. 1. pp. 789-806.
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Ateya A. A., Muthanna A., Koucheryavy A., Yassine M., El-Latif A. A. Energy efficient offloading scheme for MEC-based augmented reality system // Cluster Computing. 2023. Vol. 26. No. 1. pp. 789-806.
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TY - JOUR
DO - 10.1007/s10586-022-03914-7
UR - https://doi.org/10.1007%2Fs10586-022-03914-7
TI - Energy efficient offloading scheme for MEC-based augmented reality system
T2 - Cluster Computing
AU - Ateya, Abdelhamied A
AU - Muthanna, Ammar
AU - Koucheryavy, Andrey
AU - Yassine, Maleh
AU - El-Latif, Ahmed A.Abd
PY - 2023
DA - 2023/01/09 00:00:00
PB - Springer Nature
SP - 789-806
IS - 1
VL - 26
SN - 1386-7857
ER -
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@article{2023_Ateya,
author = {Abdelhamied A Ateya and Ammar Muthanna and Andrey Koucheryavy and Maleh Yassine and Ahmed A.Abd El-Latif},
title = {Energy efficient offloading scheme for MEC-based augmented reality system},
journal = {Cluster Computing},
year = {2023},
volume = {26},
publisher = {Springer Nature},
month = {jan},
url = {https://doi.org/10.1007%2Fs10586-022-03914-7},
number = {1},
pages = {789--806},
doi = {10.1007/s10586-022-03914-7}
}
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Ateya, Abdelhamied A., et al. “Energy efficient offloading scheme for MEC-based augmented reality system.” Cluster Computing, vol. 26, no. 1, Jan. 2023, pp. 789-806. https://doi.org/10.1007%2Fs10586-022-03914-7.
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