Data for: Effective Truth Discovery and Fair Reward Distribution for Mobile Crowdsensing

Published: 23 Oct 2018 | Version 1 | DOI: 10.17632/93kr7pb7dc.1
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Description of this data

The attachment contains two folders: code and data. The code folder contains the Python code implemented for the models proposed and compared by the paper "Effective Truth Discovery and Fair Reward Distribution for Mobile Crowdsensing Using Sensing Expertise from IoT Infrastructures". The data folder contains the real-life sensing data collected from 10 mobile devices, which cover illuminance, sound level and WiFi signal strength.

Experiment data files

This data is associated with the following publication:

Effective truth discovery and fair reward distribution for mobile crowdsensing

Published in: Pervasive and Mobile Computing

Latest version

  • Version 1

    2018-10-23

    Published: 2018-10-23

    DOI: 10.17632/93kr7pb7dc.1

    Cite this dataset

    Shi, Fengrui (2018), “Data for: Effective Truth Discovery and Fair Reward Distribution for Mobile Crowdsensing”, Mendeley Data, v1 http://dx.doi.org/10.17632/93kr7pb7dc.1

Statistics

Views: 321
Downloads: 21

Categories

Mobile Computing, Crowd Analysis, Data Analysis, Sensor

Licence

CC0 1.0 Learn more

The files associated with this dataset are licensed under a Public Domain Dedication licence.

What does this mean?
You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission.

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