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With the emergence of Intet of things (IoT),sensor hubs,which integrate data from different sensors,play increasingly important role.Energy efficiency is one of the most important issues for sensor hubs.To attack this challenge,this paper proposes a task scheduling scheme for sensor hubs to improve their energy efficiency.A multi-queue-based framework is designed,and its theoretical model and the corresponding mathematical analyses are presented.By optimizing the model with Lyapunov optimization techniques,an algorithm of energy efficient task scheduling in sensor hubs is proposed.Finally,simulation experiments based on real-life data extracted from Intet of vehicles (IoV) environments are conducted to validate the efficacy of the approach.