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A multi-access (edge) fog computing mobile crowd-sensing simulator. Given a place as input, the current version creates a user movements list of events and a series of tasks. Subsequently, it computes how many users are able to perform each task on the basis of their distances from the latter, in a nutshell.

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Multi-Access-Edge-Fog-Crowd-Sensing-Simulator

A python multi-access (edge) fog computing mobile crowd-sensing simulator. The current version from a given place creates a user movements list of events and a series of tasks. Subsequently, it computes how many users are able to perform each task on the basis of their distance from the latter. This is what the simulator does, in a nutshell. It works with python 3.x versions. Additional libraries are required: osmnx, r-tree, tqdm, haversine. They can be easily installed with pip or looking for them at the following link: https://www.lfd.uci.edu/~gohlke/pythonlibs/

Extra functionalities have yet to be implemented. Upgrades will be released as soon as possible.

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A multi-access (edge) fog computing mobile crowd-sensing simulator. Given a place as input, the current version creates a user movements list of events and a series of tasks. Subsequently, it computes how many users are able to perform each task on the basis of their distances from the latter, in a nutshell.

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  • Python 96.3%
  • Shell 2.1%
  • Batchfile 1.6%