2025
Journal article  Open Access

MCSim: A multi-access edge computing mobile crowdsensing simulator

Belli D., Barsocchi P., Crivello A., La Rosa D., Girolami M.

Computer software  QA76.75-76.765  MEC  Task execution  MCS  FC 

This paper introduces MCSim, a modular and extensible simulator designed to support the planning and evaluation of Mobile CrowdSensing (MCS) campaigns in urban environments. MCSim integrates a useful approximation of urban mobility patterns based on real-world street networks, as well as the simulation of task execution effectiveness within configurable data transmission ranges. Unlike other simulators, MCSim is built to accommodate future extensions, such as edge/fog computing architectures. The current version of the software offers a user-friendly interface, customizable configuration options, and robust output analysis. By combining realistic mobility modeling, configurable task logic, and architectural flexibility, MCSim provides researchers and practitioners with a powerful tool for optimizing MCS strategies while minimizing deployment costs and risks.

Source: SOFTWAREX, vol. 31 (issue 102229)


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BibTeX entry
@article{oai:iris.cnr.it:20.500.14243/550341,
	title = {MCSim: A multi-access edge computing mobile crowdsensing simulator},
	author = {Belli D. and Barsocchi P. and Crivello A. and La Rosa D. and Girolami M.},
	doi = {10.1016/j.softx.2025.102229},
	year = {2025}
}

Cyber and Human Intelligence for Physical Systems
Cyber and Human Intelligence for Physical Systems