MOFARO: A multi-objective optimization framework for dynamic task allocation in edge-fog-cloud mobile crowdsensing systems
MOFARO is introduced, a multi-objective model within the Artificial Rabbit Optimization Algorithm for task allocation in edge-fog-cloud MCS environments that outperforms state-of-the-art methods by 1.8–3.9% in success rate, validating its superiority for scalable, robust MCS in dynamic settings.