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Seyed Ali Hosseini

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Sep 2026

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.

Seyed Ali Hosseini, Omid SojodiShijani, Vahid Khajehvand · 0 citations

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