JOURNAL ARTICLE

Joint optimization strategy of task offloading to mobile edge computing.

  • Published In: Journal of Intelligent & Fuzzy Systems, 2023, v. 45, n. 6. P. 12201 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Deng, Qiao 3 of 3

Abstract

This article focuses on a novel joint offloading strategy for Mobile Edge Computing (MEC) systems that integrates a back propagation neural network (BP-NN) with a genetic algorithm (GA) to optimize multi-user intensive task scheduling. The proposed method aims to minimize long-term average response delay while jointly reducing energy consumption and total system overhead cost under practical constraints such as limited edge storage and network conditions. Simulation results demonstrate that this BP-NN-GA strategy outperforms five existing offloading approaches by achieving lower average response delays and total costs, especially as edge storage capacity increases. The study highlights the importance of balancing delay and energy consumption to improve quality of experience for end users and efficiency for application service providers in MEC environments.

Additional Information

  • Source:Journal of Intelligent & Fuzzy Systems. 2023/12, Vol. 45, Issue 6, p12201
  • Document Type:Article
  • Subject Area:Information Technology
  • Publication Date:2023
  • ISSN:1064-1246
  • DOI:10.3233/JIFS-234396
  • Accession Number:174544627
  • Copyright Statement:Copyright of Journal of Intelligent & Fuzzy Systems is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.