MCSim: A Multi-access Edge Computing Mobile CrowdSensing simulator
Dimitri Belli,
Paolo Barsocchi,
Antonino Crivello,
Davide La Rosa,
Michele Girolami
Affiliations
Dimitri Belli
Corresponding author.; National Research Council (CNR), Institute of Information Science and Technologies (ISTI), Via G. Moruzzi 1, 56124, Pisa (PI), Italy
Paolo Barsocchi
National Research Council (CNR), Institute of Information Science and Technologies (ISTI), Via G. Moruzzi 1, 56124, Pisa (PI), Italy
Antonino Crivello
National Research Council (CNR), Institute of Information Science and Technologies (ISTI), Via G. Moruzzi 1, 56124, Pisa (PI), Italy
Davide La Rosa
National Research Council (CNR), Institute of Information Science and Technologies (ISTI), Via G. Moruzzi 1, 56124, Pisa (PI), Italy
Michele Girolami
National Research Council (CNR), Institute of Information Science and Technologies (ISTI), Via G. Moruzzi 1, 56124, Pisa (PI), Italy
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.
