8000 GitHub - JhengLu/MLM-WR: Here is the source code for my paper titled "MLM-WR: A Swarm Intelligence-based Cloud-Edge-Terminal Collaboration Data Collection Scheme in The Era of AIoT."
[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to content
/ MLM-WR Public

Here is the source code for my paper titled "MLM-WR: A Swarm Intelligence-based Cloud-Edge-Terminal Collaboration Data Collection Scheme in The Era of AIoT."

3 stars 0 forks Branches Tags Activity
Star
Notifications You must be signed in to change notification settings

JhengLu/MLM-WR

BranchesTags

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

7 Commits
IntegrateAttribute.py
IntegrateAttribute.py
 
 
IntegrateLocation.py
IntegrateLocation.py
 
 
MergeLoc.py
MergeLoc.py
 
 
PSO_2000_task_200.py
PSO_2000_task_200.py
 
 
README.md
README.md
 
 
RM_PM.py
RM_PM.py
 
 
RM_PM_TFAR.py
RM_PM_TFAR.py
 
 
RandomArrange.py
RandomArrange.py
 
 
Readme.md
Readme.md
 
 
TFARMergeAttr.py
TFARMergeAttr.py
 
 
TFARMergeLoc.py
TFARMergeLoc.py
 
 
TFARpso_2000_task_200.py
TFARpso_2000_task_200.py
 
 
checkEfficiency_2.py
checkEfficiency_2.py
 
 
checkEfficiency_compare.py
checkEfficiency_compare.py
 
 
checkEfficiency_random.py
checkEfficiency_random.py
 
 
checkFee.py
checkFee.py
 
 
checkFeeCompare.py
checkFeeCompare.py
 
 
checkFeeRandom.py
checkFeeRandom.py
 
 
checkNaN.py
checkNaN.py
 
 
createData.py
createData.py
 
 
createRoundWill.py
createRoundWill.py
 
 
createTasks.py
createTasks.py
 
 
createTruth.py
createTruth.py
 
 
createWorkerData.py
createWorkerData.py
 
 
createWorkers.py
createWorkers.py
 
 
diabetes.csv
diabetes.csv
 
 
getAttrOrder.py
getAttrOrder.py
 
 
makeFolders.py
makeFolders.py
 
 
mergeEfficiency.py
mergeEfficiency.py
 
 
mergeFee.py
mergeFee.py
 
 
parameter.py
parameter.py
 
 
smallTruth.csv
smallTruth.csv
 
 
task_200.csv
task_200.csv
 
 

Repository files navigation

MLM-WR version 7.26

This is the source code for my paper titled "MLM-WR: A Swarm Intelligence-based Cloud-Edge-Terminal Collaboration Data Collection Scheme in The Era of AIoT," with the DOI: 10.1109/JIOT.2023.3309959 (upcoming publication). The code here is the scenario where 2000 workers in the network and 200 tasks are released by the platform, each task contains different requirements. The ground truth is generated by the diabetes dataset， The ratio of high truthful, medium truthful, and low truthful workers is 0.6:0.2:0.2.

About

Here is the source code for my paper titled "MLM-WR: A Swarm Intelligence-based Cloud-Edge-Terminal Collaboration Data Collection Scheme in The Era of AIoT."

Resources

Readme
Activity

Stars

3 stars

Watchers

1 watching

Forks

0 forks
Report repository

Releases

No releases published

Packages

No packages published

Languages
0