POTMEC: A Novel Power Optimization Technique for Mobile Edge Computing Networks
Sábháilte in:
| Foilsithe in: | Computation vol. 13, no. 7 (2025), p. 161-175 |
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| Príomhchruthaitheoir: | |
| Rannpháirtithe: | , , , |
| Foilsithe / Cruthaithe: |
MDPI AG
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| Ábhair: | |
| Rochtain ar líne: | Citation/Abstract Full Text + Graphics Full Text - PDF |
| Clibeanna: |
Níl clibeanna ann, Bí ar an gcéad duine le clib a chur leis an taifead seo!
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MARC
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|---|---|---|---|
| 001 | 3233124193 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2079-3197 | ||
| 024 | 7 | |a 10.3390/computation13070161 |2 doi | |
| 035 | |a 3233124193 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 231446 |2 nlm | ||
| 100 | 1 | |a Ananth, Kumar Tamilarasan |u Computer Science and Engineering, IFET College of Engineering, Gangarampalaiyam 605108, India; tananthkumar@ieee.org | |
| 245 | 1 | |a POTMEC: A Novel Power Optimization Technique for Mobile Edge Computing Networks | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a The rapid growth of ultra-dense mobile edge computing (UDEC) in 5G IoT networks has intensified energy inefficiencies and latency bottlenecks exacerbated by dynamic channel conditions and imperfect CSI in real-world deployments. This paper introduces POTMEC, a power optimization framework that combines a channel-aware adaptive power allocator using real-time SNR measurements, a MATLAB-trained RL model for joint offloading decisions and a decaying step-size algorithm guaranteeing convergence. Computational offloading is a productive technique to overcome mobile battery life issues by processing a few parts of the mobile application on the cloud. It investigated how multi-access edge computing can reduce latency and energy usage. The experiments demonstrate that the proposed model reduces transmission energy consumption by 27.5% compared to baseline methods while maintaining the latency below 15 ms in ultra-dense scenarios. The simulation results confirm a 92% accuracy in near-optimal offloading decisions under dynamic channel conditions. This work advances sustainable edge computing by enabling energy-efficient IoT deployments in 5G ultra-dense networks without compromising QoS. | |
| 653 | |a Augmented reality | ||
| 653 | |a Integer programming | ||
| 653 | |a Investigations | ||
| 653 | |a Edge computing | ||
| 653 | |a Applications programs | ||
| 653 | |a Bandwidths | ||
| 653 | |a Optimization techniques | ||
| 653 | |a Quality of service architectures | ||
| 653 | |a Cloud computing | ||
| 653 | |a Software services | ||
| 653 | |a Optimization | ||
| 653 | |a Network latency | ||
| 653 | |a Mobile computing | ||
| 653 | |a Computation offloading | ||
| 653 | |a Power management | ||
| 653 | |a Algorithms | ||
| 653 | |a Real time | ||
| 653 | |a Energy consumption | ||
| 653 | |a Internet of Things | ||
| 653 | |a Decisions | ||
| 700 | 1 | |a Rajmohan Rajendirane |u Department of Computing Technologies, SRM Institute of Science and Technology, Kattankulathur 603203, India | |
| 700 | 1 | |a Ajagbe Sunday Adeola |u Department of Computer Science, University of Zululand, Kwadlangezwa 3886, South Africa | |
| 700 | 1 | |a Akinlade Oluwatobi |u Department of Computer Science, Birmingham City University, Birmingham B5 5JU, UK | |
| 700 | 1 | |a Adigun Matthew Olusegun |u Department of Computer Science, University of Zululand, Kwadlangezwa 3886, South Africa | |
| 773 | 0 | |t Computation |g vol. 13, no. 7 (2025), p. 161-175 | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3233124193/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3233124193/fulltextwithgraphics/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3233124193/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch |