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profit_optimization_mec

https://github.com/sumit521/profit_optimization_mec

Science Score: 54.0%

This score indicates how likely this project is to be science-related based on various indicators:

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    CITATION.cff file
    Found CITATION.cff file
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    codemeta.json file
    Found codemeta.json file
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    .zenodo.json file
    Found .zenodo.json file
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    Academic publication links
    Links to: ieee.org
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    Scientific vocabulary similarity
    Low similarity (6.7%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: sumit521
  • License: mit
  • Language: MATLAB
  • Default Branch: main
  • Size: 288 KB
Statistics
  • Stars: 21
  • Watchers: 1
  • Forks: 3
  • Open Issues: 1
  • Releases: 3
Created over 4 years ago · Last pushed over 2 years ago
Metadata Files
Readme License Citation

README.md

ProfitOptimizationMEC

In this project we try to use genetic algorithm to solve decoupled optimization problem of deciding offloading strategy and allocation of radio and computational resources.

View Profit_Optimization_MEC on File Exchange

New updates: Updated the code files for simulating the paper https://ieeexplore.ieee.org/document/10273406. Code for "Profit Optimization in MEC using genetic algorithm" can be accessed from the last release of the repository.

Use MainScriptfinal.m file to get the figure for the comparison of algorithms which is the key result of the paper. Use Mainscriptexperimentparameter.m file to generate the figures corresponding to the impact of changes in resource availability on profitability. See the code around "%%Calculating the profits" section and "%% for resource dependency trend" section. Assign the values from vectors lnvector, Bvector, Fvector to respective variables in different rounds of simulation and also make necessary changes in form of uncommenting/commenting and changing the legend in "%% for resource dependency trend" section of the code.

Similarly, use Mainscriptexperiment_parameter.m file to get the impact of parameters of evolutionary algorithms on the profitability. See the code around "%%Calculating the profits" section and "%% plotting the results" section.

Owner

  • Login: sumit521
  • Kind: user

Citation (citation.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Singh"
  given-names: "Sumit"
  orcid: " https://orcid.org/0000-0003-1946-5302"
title: "Profit_Optimization_MEC"
version: 1.0.0
doi: 10.5281/zenodo.1234
date-released: 2021-11-16
url: "https://github.com/sumit521/Profit_Optimization_MEC"

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